Main Conference Schedule

This page shows a preliminary version of the EMNLP-IJCNLP 2019 main conference schedule, with basic information on the dates of the talk and poster sessions. More details will be provided later.

Main Conference Day 1 (Tuesday, November 5, 2019)

Opening Remarks

08:45–09:00

Keynote I: Noam Slonim

09:00–10:00

Coffee Break

10:00–10:30

Session 1

10:30–12:00

— Session 1A: Machine Learning I

  • 10:30–10:48
    Attending to Future Tokens for Bidirectional Sequence Generation (# 1443)
  • 10:48–11:06
    Attention is not not Explanation (# 526)
  • 11:06–11:24
    Practical Obstacles to Deploying Active Learning (# 1176)
  • 11:24–11:42
    Transfer Learning Between Related Tasks Using Expected Label Proportions (# 1207)
  • 11:42–12:00
    Insertion-based Decoding with automatically Inferred Generation Order (# TACL-1732)

— Session 1B: Lexical Semantics I

  • 10:30–10:48
    Knowledge Enhanced Contextual Word Representations (# 3403)
  • 10:48–11:06
    How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings (# 208)
  • 11:06–11:24
    Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings (# 783)
  • 11:24–11:42
    Correlations between Word Vector Sets (# 3976)
  • 11:42–12:00
    Game Theory Meets Embeddings: a Unified Framework for Word Sense Disambiguation (# 1724)

— Session 1C: Dialog and Interactive Systems I

  • 10:30–10:48
    Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog (# 166)
  • 10:48–11:06
    Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots (# 554)
  • 11:06–11:24
    MoEL: Mixture of Empathetic Listeners (# 1053)
  • 11:24–11:42
    Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever (# 2430)
  • 11:42–12:00
    Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation (# 3756)

— Session 1D: Sentiment Analysis and Argument Mining I

  • 10:30–10:48
    DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation (# 2092)
  • 10:48–11:06
    Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations (# 1814)
  • 11:06–11:24
    Interpretable Relevant Emotion Ranking with Event-Driven Attention (# 3544)
  • 11:24–11:42
    Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects (# 518)
  • 11:42–12:00
    Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning (# 204)

— Poster & Demo Session 1: Information Extraction, Information Retrieval and Document Analysis, Linguistic Theories

  • 10:30–12:00
    • Leveraging Dependency Forest for Neural Medical Relation Extraction (# 249)
    • Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data (# 569)
    • Improving Relation Extraction with Knowledge-attention (# 710)
    • Jointly Learning Entity and Relation Representations for Entity Alignment (# 782)
    • Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion (# 796)
    • Low-Resource Name Tagging Learned with Weakly Labeled Data (# 821)
    • Learning Dynamic Context Augmentation for Global Entity Linking (# 841)
    • Open Event Extraction from Online Text using a Generative Adversarial Network (# 859)
    • Learning to Bootstrap for Entity Set Expansion (# 1001)
    • Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text (# 1149)
    • Cross-lingual Structure Transfer for Relation and Event Extraction (# 1210)
    • Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework (# 1365)
    • Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction (# 1736)
    • Event Detection with Trigger-Aware Lattice Neural Network (# 1816)
    • A Boundary-aware Neural Model for Nested Named Entity Recognition (# 1874)
    • Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning (# 2024)
    • CaRe: Open Knowledge Graph Embeddings (# 2439)
    • Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction (# 2793)
    • Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping (# 3014)
    • Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction (# 3059)
    • EntEval: A Holistic Evaluation Benchmark for Entity Representations (# 3317)
    • Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction (# 3646)
    • Hierarchical Text Classification with Reinforced Label Assignment (# 32)
    • Investigating Capsule Network and Semantic Feature on Hyperplanes for Text Classification (# 314)
    • Label-Specific Document Representation for Multi-Label Text Classification (# 721)
    • Hierarchical Attention Prototypical Networks for Few-Shot Text Classification (# 729)
    • Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification (# 2087)
    • Enhancing Local Feature Extraction with Global Representation for Neural Text Classification (# 2273)
    • Latent-Variable Generative Models for Data-Efficient Text Classification (# 3004)
    • PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space (# 3239)

    • Linking artificial and human neural representations of language (# 2750)

    • IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis (# DEMO-30)
    • TellMeWhy: Learning to Explain Corrective Feedback for Second Language Learners (# DEMO-47)
    • Honkling: In-Browser Personalization for Ubiquitous Keyword Spotting (# DEMO-50)
    • Redcoat: A Collaborative Annotation Tool for Hierarchical Entity Typing (# DEMO-64)
    • SEAGLE: A Platform for Comparative Evaluation of Semantic Encoders for Information Retrieval (# DEMO-78)
    • OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction (# DEMO-80)
    • Automatic Taxonomy Induction and Expansion (# DEMO-81)
    • Applying BERT to Document Retrieval with Birch (# DEMO-87)

Lunch

12:00–13:30

Session 2

13:30–15:00

— Session 2A: Summarization and Generation

  • 13:30–13:48
    Neural Text Summarization: A Critical Evaluation (# 3687)
  • 13:48–14:06
    Neural data-to-text generation: A comparison between pipeline and end-to-end architectures (# 2586)
  • 14:06–14:24
    MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance (# 1175)
  • 14:24–14:42
    Select and Attend: Towards Controllable Content Selection in Text Generation (# 3049)
  • 14:42–15:00
    Sentence-Level Content Planning and Style Specification for Neural Text Generation (# 3357)

— Session 2B: Sentence-level Semantics I

  • 13:30–13:48
    Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling (# 2740)
  • 13:48–14:06
    Syntax-Enhanced Self-Attention-Based Semantic Role Labeling (# 2106)
  • 14:06–14:24
    VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling (# 2213)
  • 14:24–14:42
    Parameter-free Sentence Embedding via Orthogonal Basis (# 1099)
  • 14:42–15:00
    Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations (# 3807)

— Session 2C: Speech, Vision, Robotics, Multimodal and Grounding I

  • 13:30–13:48
    Extracting Possessions from Social Media: Images Complement Language (# 3013)
  • 13:48–14:06
    Learning to Speak and Act in a Fantasy Text Adventure Game (# 1243)
  • 14:06–14:24
    Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning (# 1542)
  • 14:24–14:42
    Incorporating Visual Semantics into Sentence Representations within a Grounded Space (# 2247)
  • 14:42–15:00
    Neural Naturalist: Generating Fine-Grained Image Comparisons (# 3024)

— Session 2D: Information Extraction I

  • 13:30–13:48
    Fine-Grained Evaluation for Entity Linking (# 116)
  • 13:48–14:06
    Supervising Unsupervised Open Information Extraction Models (# 3069)
  • 14:06–14:24
    A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers (# 3259)
  • 14:24–14:42
    KnowledgeNet: A Benchmark Dataset for Knowledge Base Population (# 1258)
  • 14:42–15:00
    Effective Use of Transformer Networks for Entity Tracking (# 3308)

— Poster & Demo Session 2: Machine Translation and Mulitilinguality, Phonology, Morphology and Word Segmentation, Tagging, Chunking, Syntax and Parsing

  • 13:30–15:00
    • Explicit Cross-lingual Pre-training for Unsupervised Machine Translation (# 233)
    • Latent Part-of-Speech Sequences for Neural Machine Translation (# 410)
    • Improving Back-Translation with Uncertainty-based Confidence Estimation (# 798)
    • Towards Linear Time Neural Machine Translation with Capsule Networks (# 846)
    • Modeling Multi-mapping Relations for Precise Cross-lingual Entity Alignment (# 985)
    • Supervised and Nonlinear Alignment of Two Embedding Spaces for Dictionary Induction in Low Resourced Languages (# 1226)
    • Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT (# 1414)
    • Iterative Dual Domain Adaptation for Neural Machine Translation (# 1427)
    • Multi-agent Learning for Neural Machine Translation (# 1484)
    • Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages (# 1869)
    • Context-Aware Monolingual Repair for Neural Machine Translation (# 1967)
    • Multi-Granularity Self-Attention for Neural Machine Translation (# 2330)
    • Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention (# 2537)
    • A Discriminative Neural Model for Cross-Lingual Word Alignment (# 2961)
    • One Model to Learn Both: Zero Pronoun Prediction and Translation (# 3571)
    • Dynamic Past and Future for Neural Machine Translation (# 3601)
    • Revisit Automatic Error Detection for Wrong and Missing Translation – A Supervised Approach (# 3770)
    • Towards Understanding Neural Machine Translation with Word Importance (# 3857)
    • Multilingual Neural Machine Translation with Language Clustering (# 4056)
    • Don’t Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction (# 1065)
    • Pushing the Limits of Low-Resource Morphological Inflection (# 2230)
    • Morphological Analysis Using a Sequence Decoder (# TACL-1654)
    • Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank (# 205)
    • Hierarchical Pointer Net Parsing (# 531)
    • Semi-Supervised Semantic Role Labeling with Cross-View Training (# 719)
    • Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations (# 809)
    • A Lexicon-Based Graph Neural Network for Chinese NER (# 863)
    • CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding (# 1556)
    • Tree Transformer: Integrating Tree Structures into Self-Attention (# 1794)
    • Semantic Role Labeling with Iterative Structure Refinement (# 2179)
    • Entity Projection via Machine Translation for Cross-Lingual NER (# 2724)
    • A Bayesian Approach for Sequence Tagging with Crowds (# 2738)
    • A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages (# 3091)
    • Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing (# 3368)
    • Look-up and Adapt: A One-shot Semantic Parser (# 3711)
    • Similarity Based Auxiliary Classifier for Named Entity Recognition (# 3886)

    • Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal (# 4015)

    • MY-AKKHARA: A Romanization-based Burmese (Myanmar) Input Method (# DEMO-29)
    • LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations (# DEMO-33)
    • Joey NMT: A Minimalist NMT Toolkit for Novices (# DEMO-40)
    • Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations (# DEMO-59)
    • A System for Diacritizing Four Varieties of Arabic (# DEMO-65)
    • What’s Wrong with Hebrew NLP? And How to Make it Right (# DEMO-75)
    • INMT: Interactive Neural Machine Translation Prediction (# DEMO-100)

Coffee Break

15:00–15:30

Session 3

15:30–16:18

— Session 3A: Machine Learning II

  • 15:30–15:42
    Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets (# 1092)
  • 15:42–15:54
    Robust Text Classifier on Test-Time Budgets (# 1128)
  • 15:54–16:06
    Commonsense Knowledge Mining from Pretrained Models (# 3289)
  • 16:06–16:18
    RNN Architecture Learning with Sparse Regularization (# 3428)

— Session 3B: Semantics

  • 15:30–15:42
    Analytical Methods for Interpretable Ultradense Word Embeddings (# 75)
  • 15:42–15:54
    Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks (# 3142)
  • 15:54–16:06
    Retrofitting Contextualized Word Embeddings with Paraphrases (# 3045)
  • 16:06–16:18
    Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling (# 3508)

— Session 3C: Discourse, Summarization, and Generation

  • 15:30–15:42
    Neural Linguistic Steganography (# 3399)
  • 15:42–15:54
    The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization (# 3018)
  • 15:54–16:06
    Attention Optimization for Abstractive Document Summarization (# 1918)
  • 16:06–16:18
    Rewarding Coreference Resolvers for Being Consistent with World Knowledge (# 2020)

— Session 3D: Text Mining and NLP Applications I

  • 15:30–15:42
    An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction (# 740)
  • 15:42–15:54
    A Multilingual Topic Model for Learning Weighted Topic Links Across Corpora with Low Comparability (# 1257)
  • 15:54–16:06
    Measure Country-Level Socio-Economic Indicators with Streaming News: An Empirical Study (# 3730)
  • 16:06–16:18
    Towards Extracting Medical Family History from Natural Language Interactions: A New Dataset and Baselines (# 2903)

— Poster & Demo Session 3: Dialog and Interactive Systems, Machine Translation and Multilinuality, Phonology, Morphology, and Word Segmentation, Speech, Vision, Robotics, Multimodal and Grounding, Tagging, Chunking, Syntax and Parsing

  • 15:30–16:18
    • Multi-task Learning for Natural Language Generation in Task-Oriented Dialogue (# 242)
    • Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation (# 622)
    • Semi-Supervised Bootstrapping of Dialogue State Trackers for Task-Oriented Modelling (# 1011)
    • A Progressive Model to Enable Continual Learning for Semantic Slot Filling (# 1289)
    • CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots (# 1447)
    • Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems (# 2050)
    • Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables (# 2329)
    • Modeling Multi-Action Policy for Task-Oriented Dialogues (# 2650)
    • An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction (# 3471)
    • Automatically Learning Data Augmentation Policies for Dialogue Tasks (# 3528)
    • uniblock: Scoring and Filtering Corpus with Unicode Block Information (# 351)
    • Multilingual word translation using auxiliary languages (# 533)
    • Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons (# 801)
    • Vecalign: Improved Sentence Alignment in Linear Time and Space (# 1284)
    • Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation (# 1603)
    • Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER (# 1889)
    • Recurrent Positional Embedding for Neural Machine Translation (# 2114)
    • Machine Translation for Machines: the Sentiment Classification Use Case (# 2413)
    • Investigating the Effectiveness of BPE: The Power of Shorter Sequences (# 2552)
    • HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation (# 3022)
    • Handling Syntactic Divergence in Low-resource Machine Translation (# 3336)
    • Speculative Beam Search for Simultaneous Translation (# 3487)
    • Self-Attention with Structural Position Representations (# 3548)
    • Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation (# 3590)
    • Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings (# 3716)
    • A Regularization-based Framework for Bilingual Grammar Induction (# 4061)
    • Encoders Help You Disambiguate Word Senses in Neural Machine Translation (# 4083)
    • Korean Morphological Analysis with Tied Sequence-to-Sequence Multi-Task Model (# 2376)
    • Efficient Convolutional Neural Networks for Diacritic Restoration (# 3733)
    • Improving Generative Visual Dialog by Answering Diverse Questions (# 459)
    • Cross-lingual Transfer Learning with Data Selection for Large-Scale Spoken Language Understanding (# 790)
    • Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations (# 2786)
    • Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering (# 3263)
    • REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning (# 3293)
    • WSLLN:Weakly Supervised Natural Language Localization Networks (# 3398)
    • Grounding learning of modifier dynamics: An application to color naming (# 3748)
    • Robust Navigation with Language Pretraining and Stochastic Sampling (# 3830)
    • Towards Making a Dependency Parser See (# 413)
    • Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders (# 1234)
    • Dependency Parsing for Spoken Dialog Systems (# 3171)
    • Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog (# 3240)

Mini-Break

16:18–16:30

Session 4

16:30–18:00

— Session 4A: Neural Machine Translation

  • 16:30–16:48
    Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation (# 2416)
  • 16:48–17:06
    Simple, Scalable Adaptation for Neural Machine Translation (# 3252)
  • 17:06–17:24
    Controlling Text Complexity in Neural Machine Translation (# 3177)
  • 17:24–17:42
    Investigating Multilingual NMT Representations at Scale (# 1388)
  • 17:42–18:00
    Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation (# 1423)

— Session 4B: Question Answering I

  • 16:30–16:48
    Cross-Lingual Machine Reading Comprehension (# 8)
  • 16:48–17:06
    A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning (# 582)
  • 17:06–17:24
    Neural Duplicate Question Detection without Labeled Training Data (# 880)
  • 17:24–17:42
    Asking Clarification Questions in Knowledge-Based Question Answering (# 889)
  • 17:42–18:00
    Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection (# 1646)

— Session 4C: Social Media and Computational Social Science

  • 16:30–16:48
    Multi-label Categorization of Accounts of Sexism using a Neural Framework (# 172)
  • 16:48–17:06
    The Trumpiest Trump? Identifying a Subject’s Most Characteristic Tweets (# 1462)
  • 17:06–17:24
    Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts (# 2950)
  • 17:24–17:42
    Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews (# 694)
  • 17:42–18:00
    Learning Invariant Representations of Social Media Users (# 3557)

— Session 4D: Text Mining and NLP Applications II

  • 16:30–16:48
    (Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas (# 3793)
  • 16:48–17:06
    Movie Plot Analysis via Turning Point Identification (# 244)
  • 17:06–17:24
    Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention (# 2488)
  • 17:24–17:42
    Deep Ordinal Regression for Pledge Specificity Prediction (# 1903)
  • 17:42–18:00
    Enabling Robust Grammatical Error Correction in New Domains: Datasets, Metrics, and Analyses (# TACL-1677)

— Poster & Demo Session 4: Dialog and Interactive Systems, Speech, Vision, Robotics, Multimodal and Grounding

  • 16:30-18:00
    • Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks (# 9)
    • Multi-Granularity Representations of Dialog (# 64)
    • Are You for Real? Detecting Identity Fraud via Dialogue Interactions (# 111)
    • Hierarchy Response Learning for Neural Conversation Generation (# 124)
    • Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs (# 138)
    • Adaptive Parameterization for Neural Dialogue Generation (# 298)
    • Towards Knowledge-Based Recommender Dialog System (# 316)
    • Structuring Latent Spaces for Stylized Response Generation (# 419)
    • Improving Open-Domain Dialogue Systems via Multi-Turn Incomplete Utterance Restoration (# 537)
    • Unsupervised Context Rewriting for Open Domain Conversation (# 771)
    • Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots (# 866)
    • DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs (# 1432)
    • Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework (# 1550)
    • Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation (# 1842)
    • Low-Resource Response Generation with Template Prior (# 1931)
    • A Discrete CVAE for Response Generation on Short-Text Conversation (# 2039)
    • Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations (# 2495)
    • A Semi-Supervised Stable Variational Network for Promoting Replier-Consistency in Dialogue Generation (# 2594)
    • Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders (# 2685)
    • Variational Hierarchical User-based Conversation Model (# 3513)
    • Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue (# 3727)
    • CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases (# 3881)
    • A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection (# 3954)
    • How to Build User Simulators to Train RL-based Dialog Systems (# 4003)
    • Graph Convolutional Network with Sequential Attention for Goal-Oriented Dialogue Systems (# TACL-1676)
    • Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning (# 294)
    • Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach (# 370)
    • Dual Attention Networks for Visual Reference Resolution in Visual Dialog (# 401)
    • Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents (# 942)
    • UR-FUNNY: A Multimodal Language Dataset for Understanding Humor (# 996)
    • Partners in Crime: Multi-view Sequential Inference for Movie Understanding (# 1923)
    • Guiding the Flowing of Semantics: Interpretable Video Captioning via POS Tag (# 2097)
    • A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding (# 2414)
    • Talk2Car: Taking Control of Your Self-Driving Car (# 2718)
    • Fact-Checking Meets Fauxtography: Verifying Claims About Images (# 2739)
    • Video Dialog via Progressive Inference and Cross-Transformer (# 2766)
    • Executing Instructions in Situated Collaborative Interactions (# 2884)
    • Fusion of Detected Objects in Text for Visual Question Answering (# 3099)

    • TIGEr: Text-to-Image Grounding for Image Caption Evaluation (# 3260)

    • EGG: a toolkit for research on Emergence of lanGuage in Games (# DEMO-38)
    • Chameleon: A Language Model Adaptation Toolkit for Automatic Speech Recognition of Conversational Speech (# DEMO-43)
    • PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules (# DEMO-60)
    • PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking (# DEMO-67)
    • LIDA: Lightweight Interactive Dialogue Annotator (# DEMO-71)
    • Entity resolution for noisy ASR transcripts (# DEMO-88)
    • Gunrock: A Social Bot for Complex and Engaging Long Conversations (# DEMO-103)
    • HARE: a Flexible Highlighting Annotator for Ranking and Exploration (# DEMO-115)

Main Conference Day 2 (Wednesday, November 6, 2019)

Keynote II: Meeyoung Cha

09:00–10:00

Coffee Break

10:00–10:30

Session 5

10:30–12:00

— Session 5A: Machine Learning III

  • 10:30–10:48
    Universal Adversarial Triggers for Attacking and Analyzing NLP (# 1515)
  • 10:48–11:06
    To Annotate or Not? Predicting Performance Drop under Domain Shift (# 2756)
  • 11:06–11:24
    Adaptively Sparse Transformers (# 2900)
  • 11:24–11:42
    Show Your Work: Improved Reporting of Experimental Results (# 3277)
  • 11:42–12:00
    A Deep Factorization of Style and Structure in Fonts (# 3999)

— Session 5B: Lexical Semantics II

  • 10:30–10:48
    Cross-lingual Semantic Specialization via Lexical Relation Induction (# 1735)
  • 10:48–11:06
    Modelling the interplay of metaphor and emotion through multitask learning (# 2670)
  • 11:06–11:24
    How well do NLI models capture verb veridicality? (# 3460)
  • 11:24–11:42
    Modeling Color Terminology Across Thousands of Languages (# 3515)
  • 11:42–12:00
    Negative Focus Detection via Contextual Attention Mechanism (# 1314)

— Session 5C: Discourse and Pragmatics

  • 10:30–10:48
    A Unified Neural Coherence Model (# 1792)
  • 10:48–11:06
    Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information (# 2642)
  • 11:06–11:24
    Neural Generative Rhetorical Structure Parsing (# 4060)
  • 11:24–11:42
    Weak Supervision for Learning Discourse Structure (# 2453)
  • 11:42–12:00
    Predicting Discourse Structure using Distant Supervision from Sentiment (# 2625)

— Session 5D: Text Mining and NLP Applications III

  • 10:30–10:48
    The Myth of Double-Blind Review Revisited: ACL vs. EMNLP (# 2233)
  • 10:48–11:06
    Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization (# 2653)
  • 11:06–11:24
    Identifying Predictive Causal Factors from News Streams (# 2864)
  • 11:24–11:42
    Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content (# 3011)
  • 11:42–12:00
    Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference (# 3160)

— Poster & Demo Session 5: Question Answering, Textual Inference and Other Areas of Semantics

  • 10:30–12:00
    • Tree-structured Decoding for Solving Math Word Problems (# 56)
    • PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text (# 86)
    • Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning (# 107)
    • Finding Generalizable Evidence by Learning to Convince Q&A Models (# 179)
    • Ranking and Sampling in Open-Domain Question Answering (# 468)
    • A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs (# 618)
    • Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss (# 807)
    • Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base (# 924)
    • BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels (# 1930)
    • Language Models as Knowledge Bases? (# 2085)
    • NumNet: Machine Reading Comprehension with Numerical Reasoning (# 2237)
    • Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks (# 2277)
    • Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering (# 2390)
    • Adversarial Domain Adaptation for Machine Reading Comprehension (# 2764)
    • Incorporating External Knowledge into Machine Reading for Generative Question Answering (# 2820)
    • Answering questions by learning to rank - Learning to rank by answering questions (# 2825)
    • Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension (# 2940)
    • Revealing the Importance of Semantic Retrieval for Machine Reading at Scale (# 2945)
    • PubMedQA: A Dataset for Biomedical Research Question Answering (# 2978)
    • Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering (# 3164)
    • Answering Complex Open-domain Questions Through Iterative Query Generation (# 3417)
    • NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions (# 3489)
    • Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering (# 4004)
    • Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning (# 147)
    • Learning to Update Knowledge Graphs by Reading News (# 493)
    • DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning (# 709)
    • Original Semantics-Oriented Attention and Deep Fusion Network for Sentence Matching (# 829)
    • Representation Learning with Ordered Relation Paths for Knowledge Graph Completion (# 972)
    • Collaborative Policy Learning for Open Knowledge Graph Reasoning (# 1018)
    • Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder (# 1444)
    • Asynchronous Deep Interaction Network for Natural Language Inference (# 2257)
    • Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange (# 2830)
    • Query-focused Scenario Construction (# 3550)

    • Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model (# 3819)

    • EUSP: An Easy-to-Use Semantic Parsing PlatForm (# DEMO-57)
    • ParaQG: A System for Generating Questions and Answers from Paragraphs (# DEMO-66)
    • CFO: A Framework for Building Production NLP Systems (# DEMO-37)
    • ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System (# DEMO-48)
    • Memory Grounded Conversational Reasoning (# DEMO-86)

Lunch

12:00–13:30

Session 6

13:30–15:00

— Session 6A: Tagging, Chunking, Syntax and Parsing

  • 13:30–13:48
    Designing and Interpreting Probes with Control Tasks (# 4063)
  • 13:48–14:06
    Specializing Word Embeddings (for Parsing) by Information Bottleneck (# 1357)
  • 14:06–14:24
    Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited (# 2799)
  • 14:24–14:42
    Semantic graph parsing with recurrent neural network DAG grammars (# 2863)
  • 14:42–15:00
    75 Languages, 1 Model: Parsing Universal Dependencies Universally (# 1221)

— Session 6B: Question Answering II

  • 13:30–13:48
    Interactive Language Learning by Question Answering (# 1367)
  • 13:48–14:06
    What’s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering (# 3238)
  • 14:06–14:24
    KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning (# 436)
  • 14:24–14:42
    Learning with Limited Data for Multilingual Reading Comprehension (# 3518)
  • 14:42–15:00
    A Discrete Hard EM Approach for Weakly Supervised Question Answering (# 3778)

— Session 6C: Linguistic Theories, Cognitive Modeling and Psycholinguistics

  • 13:30–13:48
    Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts (# 2585)
  • 13:48–14:06
    Investigating BERT’s Knowledge of Language: Five Analysis Methods with NPIs (# 3650)
  • 14:06–14:24
    Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study (# 3929)
  • 14:24–14:42
    Towards Zero-shot Language Modeling (# 1745)
  • 14:42–15:00
    Neural Network Acceptability Judgments (# TACL-1710)

— Session 6D: Sentiment Analysis and Argument Mining II

  • 13:30–13:48
    What Gets Echoed? Understanding the “Pointers” in Explanations of Persuasive Arguments (# 2089)
  • 13:48–14:06
    Modeling Frames in Argumentation (# 2267)
  • 14:06–14:24
    AMPERSAND: Argument Mining for PERSuAsive oNline Discussions (# 3321)
  • 14:24–14:42
    Evaluating adversarial attacks against multiple fact verification systems (# 427)
  • 14:42–15:00
    Nonsense!: Quality Control via Two-Step Reason Selection for Annotating Local Acceptability and Related Attributes in News Editorials (# 564)

— Poster & Demo Session 6: Discourse and Pragmatics, Summarization and Generation

  • 13:30–15:00
    • Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite (# 723
    • A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing (# 2916
    • Weakly Supervised Multilingual Causality Extraction from Wikipedia (# 3994
    • Attribute-aware Sequence Network for Review Summarization (# 210
    • Extractive Summarization of Long Documents by Combining Global and Local Context (# 268
    • Enhancing Neural Data-To-Text Generation Models with External Background Knowledge (# 313
    • Reading Like HER: Human Reading Inspired Extractive Summarization (# 346
    • Contrastive Attention Mechanism for Abstractive Sentence Summarization (# 361
    • NCLS: Neural Cross-Lingual Summarization (# 703
    • Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning (# 749
    • Concept Pointer Network for Abstractive Summarization (# 845
    • Surface Realisation Using Full Delexicalisation (# 1139
    • IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation (# 1169
    • Better Rewards Yield Better Summaries: Learning to Summarise Without References (# 1191
    • Mixture Content Selection for Diverse Sequence Generation (# 1369
    • An End-to-End Generative Architecture for Paraphrase Generation (# 1375
    • Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time) (# 1726
    • Subtopic-driven Multi-Document Summarization (# 1779
    • Referring Expression Generation Using Entity Profiles (# 1805
    • Exploring Diverse Expressions for Paraphrase Generation (# 1834
    • Enhancing AMR-to-Text Generation with Dual Graph Representations (# 1852
    • Keeping Consistency of Sentence Generation and Document Classification with Multi-Task Learning (# 1881
    • Toward a Task of Feedback Comment Generation for Writing Learning (# 2031
    • Improving Question Generation With to the Point Context (# 2033
    • Deep Copycat Networks for Text-to-Text Generation (# 2121
    • Towards Controllable and Personalized Review Generation (# 2412
    • Answers Unite! Unsupervised Metrics for Reinforced Summarization Models (# 2604
    • Long and Diverse Text Generation with Planning-based Hierarchical Variational Model (# 2746
    • Transforming Delete, Retrieve, Generate Approach for Controlled Text Style Transfer (# 2932
    • An Entity-Driven Framework for Abstractive Summarization (# 3275
    • Neural Extractive Text Summarization with Syntactic Compression (# 3334
    • Domain Adaptive Text Style Transfer (# 3511
    • Let’s Ask Again: Refine Network for Automatic Question Generation (# 3754

    • Earlier Isn’t Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization (# 3846

    • VizSeq: a visual analysis toolkit for text generation tasks (# DEMO-5)
    • FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning (# DEMO-36)
    • A Summarization System for Scientific Documents (# DEMO-74)
    • EASSE: Easier Automatic Sentence Simplification Evaluation (# DEMO-94)
    • ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation (# DEMO-109)

Coffee Break

15:00–15:30

Session 7

15:30–16:18

— Session 7A: Machine Translation and Multilinguality I

  • 15:30–15:42
    Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction (# 1131)
  • 15:42–15:54
    Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set (# 1266)
  • 15:54–16:06
    Synchronously Generating Two Languages with Interactive Decoding (# 1478)
  • 16:06–16:18
    On NMT Search Errors and Model Errors: Cat Got Your Tongue? (# 1868)

— Session 7B: Reasoning and Question Answering

  • 15:30–15:42
    Going on a vacation takes longer than “Going for a walk”: A Study of Temporal Commonsense Understanding (# 2533)
  • 15:42–15:54
    QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization (# 2798)
  • 15:54–16:06
    Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations (# 329)
  • 16:06–16:18
    How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG (# 586)

— Session 7C: Generation I

  • 15:30–15:42
    Pun-GAN: Generative Adversarial Network for Pun Generation (# 267)
  • 15:42–15:54
    Multi-Task Learning with Language Modeling for Question Generation (# 3820)
  • 15:54–16:06
    Autoregressive Text Generation Beyond Feedback Loops (# 3506)
  • 16:06–16:18
    The Woman Worked as a Babysitter: On Biases in Language Generation (# 3874)

— Session 7D: Sentiment Analysis and Argument Mining III

  • 15:30–15:42
    On the Importance of Delexicalization for Fact Verification (# 2984)
  • 15:42–15:54
    Towards Debiasing Fact Verification Models (# 3338)
  • 15:54–16:06
    Recognizing Conflict Opinions in Aspect-level Sentiment Classification with Dual Attention Networks (# 911)
  • 16:06–16:18
    Investigating Dynamic Routing in Tree-Structured LSTM for Sentiment Analysis (# 1395)

— Poster & Demo Session 7: Information Retrieval and Document Analysis, Lexical Semantics, Sentence-level Semantics, Machine Learning

  • 15:30–16:18
    • A Label Informative Wide & Deep Classifier for Patents and Papers (# 542)
    • Text Level Graph Neural Network for Text Classification (# 573)
    • Semantic Relatedness Based Re-ranker for Text Spotting (# 875)
    • Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings (# 1306)
    • Visual Detection with Context for Document Layout Analysis (# 1342)
    • Evaluating Topic Quality with Posterior Variability (# 1562)
    • Neural Topic Model with Reinforcement Learning (# 2494)
    • Modelling Stopping Criteria for Search Results using Poisson Processes (# 2705)
    • Cross-Domain Modeling of Sentence-Level Evidence for Document Retrieval (# 3533)
    • The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval (# 4151)
    • Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space (# 170)
    • GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge (# 362)
    • Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL (# 670)
    • Bridging the Defined and the Defining: Exploiting Implicit Lexical Semantic Relations in Definition Modeling (# 1461)
    • Don’t Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja (# 1615)
    • SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations (# 2219)
    • Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition (# 2419)
    • Fine-tune BERT with Sparse Self-Attention Mechanism (# 327)
    • Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels (# 806)
    • A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation (# 819)
    • Out-of-Domain Detection for Low-Resource Text Classification Tasks (# 1063)
    • Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer (# 1877)
    • Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training (# 1925)
    • Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition (# 2104)
    • Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets (# 2696)
    • Single Training Dimension Selection for Word Embedding with PCA (# 2741)
    • A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (# 3040)
    • Humor Detection: A Transformer Gets the Last Laugh (# 3265)
    • Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training (# 3585)
    • Small and Practical BERT Models for Sequence Labeling (# 3631)
    • Data Augmentation with Atomic Templates for Spoken Language Understanding (# 3776)
    • PaLM: A Hybrid Parser and Language Model (# 4026)
    • A Pilot Study for Chinese SQL Semantic Parsing (# 1593)
    • Global Reasoning over Database Structures for Text-to-SQL Parsing (# 1616)
    • Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis (# 1712)
    • Efficient Sentence Embedding using Discrete Cosine Transform (# 2287)
    • A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection (# 2393)
    • PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification (# 3233)
    • Pretrained Language Models for Sequential Sentence Classification (# 3887)
    • Emergent Linguistic Phenomena in Multi-Agent Communication Games (# 2402)
    • TalkDown: A Corpus for Condescension Detection in Context (# 1526)

Mini-Break

16:18–16:30

Session 8

16:30–18:00

— Session 8A: Summarization

  • 16:30–16:48
    Summary Cloze: A New Task for Content Selection in Topic-Focused Summarization (# 1178)
  • 16:48–17:06
    Text Summarization with Pretrained Encoders (# 392)
  • 17:06–17:24
    How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing (# 609)
  • 17:24–17:42
    BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle (# 3219)
  • 17:42–18:00
    Improving Latent Alignment in Text Summarization by Generalizing the Pointer Generator (# 3043)

— Session 8B: Sentence-level Semantics II

  • 16:30–16:48
    Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs (# 2676)
  • 16:48–17:06
    Broad-Coverage Semantic Parsing as Transduction (# 263)
  • 17:06–17:24
    Core Semantic First: A Top-down Approach for AMR Parsing (# 1544)
  • 17:24–17:42
    Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing (# 2904)
  • 17:42–18:00
    Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond (# TACL-1742)

— Session 8C: Information Extraction II

  • 16:30–16:48
    Improving Distantly-Supervised Relation Extraction with Joint Label Embedding (# 337)
  • 16:48–17:06
    Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network (# 566)
  • 17:06–17:24
    Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction (# 1057)
  • 17:24–17:42
    Easy First Relation Extraction with Information Redundancy (# 1640)
  • 17:42–18:00
    Dependency-Guided LSTM-CRF for Named Entity Recognition (# 2509)

— Session 8D: Information Retrieval and Document Analysis I

  • 16:30–16:48
    Cross-Cultural Transfer Learning for Text Classification (# 1036)
  • 16:48–17:06
    Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification (# 1190)
  • 17:06–17:24
    ProSeqo: Projection Sequence Networks for On-Device Text Classification (# 3202)
  • 17:24–17:42
    Induction Networks for Few-Shot Text Classification (# 3562)
  • 17:42–18:00
    Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach (# 2899)

— Poster & Demo Session 8: Machine Learning

  • 16:30–18:00
    • A Logic-Driven Framework for Consistency of Neural Models (# 6)
    • Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites (# 109)
    • Implicit Deep Latent Variable Models for Text Generation (# 161)
    • Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach (# 200)
    • Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation (# 247)
    • Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks (# 373)
    • Learning Only from Relevant Keywords and Unlabeled Documents (# 399)
    • Denoising based Sequence-to-Sequence Pre-training for Text Generation (# 592)
    • Dialog Intent Induction with Deep Multi-View Clustering (# 686)
    • Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction (# 718)
    • Auditing Deep Learning processes through Kernel-based Explanatory Models (# 888)
    • Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation (# 1060)
    • Sampling Bias in Deep Active Classification: An Empirical Study (# 1286)
    • Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases (# 1321)
    • Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation (# 1360)
    • Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control (# 1422)
    • Experimenting with Power Divergences for Language Modeling (# 1435)
    • Hierarchically-Refined Label Attention Network for Sequence Labeling (# 1590)
    • Certified Robustness to Adversarial Word Substitutions (# 1709)
    • Visualizing and Understanding the Effectiveness of BERT (# 1846)
    • Topics to Avoid: Demoting Latent Confounds in Text Classification (# 2147)
    • Learning to Ask for Conversational Machine Learning (# 2168)
    • Language Modeling for Code-Switching: Evaluation, Integration of Monolingual Data, and Discriminative Training (# 2270)
    • Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs (# 2394)
    • Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation (# 2441)
    • Exploiting Monolingual Data at Scale for Neural Machine Translation (# 2477)
    • Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs (# 2554)
    • Distributionally Robust Language Modeling (# 2660)
    • Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling (# 2686)
    • Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds (# 2706)
    • Parallel Iterative Edit Models for Local Sequence Transduction (# 2716)
    • ARAML: A Stable Adversarial Training Framework for Text Generation (# 2882)
    • FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow (# 2905)
    • Compositional Generalization for Primitive Substitutions (# 3039)
    • WikiCREM: A Large Unsupervised Corpus for Coreference Resolution (# 3089)
    • Identifying and Explaining Discriminative Attributes (# 3146)
    • Patient Knowledge Distillation for BERT Model Compression (# 3194)
    • Neural Gaussian Copula for Variational Autoencoder (# 3254)
    • Transformer Dissection: An Unified Understanding for Transformer’s Attention via the Lens of Kernel (# 3261)
    • Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification (# 3478)
    • Revealing the Dark Secrets of BERT (# 3494)
    • Machine Translation With Weakly Paired Documents (# 4149)
    • Countering Language Drift via Visual Grounding (# 2201)

    • The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives (# 2415)

    • NeuronBlocks: Building Your NLP DNN Models Like Playing Lego (# DEMO-41)
    • Controlling Sequence-to-Sequence Models - A Demonstration on Neural-based Acrostic Generator (# DEMO-42)
    • AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models (# DEMO-44)
    • UER: An Open-Source Toolkit for Pre-training Models (# DEMO-54)
    • MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation (# DEMO-85)

Main Conference Day 3 Thursday, November 7, 2019)

Keynote III: Kyunghyun Cho

09:00–10:00

Coffee Break

10:00–10:30

Session 9

10:30–12:00

— Session 9A: Machine Translation and Multilinguality II

  • 10:30–10:48
    Do We Really Need Fully Unsupervised Cross-Lingual Embeddings? (# 2459)
  • 10:48–11:06
    Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings (# 2491)
  • 11:06–11:24
    Aligning Cross-Lingual Entities with Multi-Aspect Information (# 3541)
  • 11:24–11:42
    Contrastive Language Adaptation for Cross-Lingual Stance Detection (# 2498)
  • 11:42–12:00
    Jointly Learning to Align and Translate with Transformer Models (# 422)

— Session 9B: Reasoning

  • 10:30–10:48
    Social IQa: Commonsense Reasoning about Social Interactions (# 1334)
  • 10:48–11:06
    Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning (# 2866)
  • 11:06–11:24
    Posing Fair Generalization Tasks for Natural Language Inference (# 1413)
  • 11:24–11:42
    Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text (# 3279)
  • 11:42–12:00
    CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text (# 3183)

— Session 9C: Dialog and Interactive Systems II

  • 10:30–10:48
    Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset (# 510)
  • 10:48–11:06
    Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data (# 1564)
  • 11:06–11:24
    Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack (# 1186)
  • 11:24–11:42
    GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue (# 1853)
  • 11:42–12:00
    Task-Oriented Conversation Generation Using Heterogeneous Memory Networks (# 496)

— Session 9D: Sentiment Analysis and Argument Mining IV

  • 10:30–10:48
    Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks (# 381)
  • 10:48–11:06
    Coupling Global and Local Context for Unsupervised Aspect Extraction (# 1988)
  • 11:06–11:24
    Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning (# 65)
  • 11:24–11:42
    CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis (# 1995)
  • 11:42–12:00
    Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training (# 3207)

— Poster & Demo Session 9: Social Media and Computational Social Science, Text Mining and NLP Applications

  • 10:30–12:00
    • Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts (# 52)
    • Neural Conversation Recommendation with Online Interaction Modeling (# 705)
    • Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection (# 720)
    • Text-based inference of moral sentiment change (# 965)
    • Detecting Causal Language Use in Science Findings (# 1439)
    • Multilingual and Multi-Aspect Hate Speech Analysis (# 1468)
    • MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims (# 1969)
    • A Deep Neural Information Fusion Architecture for Textual Network Embeddings (# 2006)
    • You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP (# 2186)
    • Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis (# 2606)
    • A Hierarchical Location Prediction Neural Network for Twitter User Geolocation (# 2693)
    • Trouble on the Horizon: Forecasting the Derailment of Online Conversations as they Develop (# 2828)
    • A Benchmark Dataset for Learning to Intervene in Online Hate Speech (# 3391)
    • Detecting and Reducing Bias in a High Stakes Domain (# 3461)
    • CodeSwitch-Reddit: Exploration of Written Multilingual Discourse in Online Discussion Forums (# 3566)
    • Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity (# 3592)
    • Measuring Online Debaters’ Persuasive Skill from Text over Time (# TACL-1639)
    • Reconstructing Capsule Networks for Zero-shot Intent Classification (# 142)
    • Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network (# 239)
    • Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification (# 299)
    • Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts (# 438)
    • News2vec: News Network Embedding with Subnode Information (# 473)
    • Recursive Context-Aware Lexical Simplification (# 732)
    • Leveraging Medical Literature for Section Prediction in Electronic Health Records (# 1103)
    • Neural News Recommendation with Heterogeneous User Behavior (# 1459)
    • Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network (# 1470)
    • Event Representation Learning Enhanced with External Commonsense Knowledge (# 1551)
    • Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification (# 1572)
    • A Neural Citation Count Prediction Model based on Peer Review Text (# 1661)
    • Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs (# 2044)
    • Semi-supervised Text Style Transfer: Cross Projection in Latent Space (# 2052)
    • Question Answering for Privacy Policies: Combining Computational and Legal Perspectives (# 2129)
    • Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation (# 2381)
    • Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks (# 2389)
    • Learning to Infer Entities, Properties and their Relations from Clinical Conversations (# 2942)
    • Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm (# 3072)
    • Modeling the Relationship between User Comments and Edits in Document Revision (# 3128)
    • PRADO: Projection Attention Networks for Document Classification On-Device (# 3218)
    • Subword Language Model for Query Auto-Completion (# 3873)

    • Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph (# 4069)

    • TEASPN: Framework and Protocol for Integrated Writing Assistance Environments (# DEMO-39)
    • Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis (# DEMO-89)
    • MAssistant: A Personal Knowledge Assistant for MOOC Learners (# DEMO-98)
    • A Stylometry Toolkit for Latin Literature (# DEMO-105)
    • Tanbih: Get To Know What You Are Reading (# DEMO-114)
    • Visualizing Trends of Key Roles in News Articles (# DEMO-112)

Lunch

12:00–12:30

SIGDAT Business Meeting

12:30–13:30

Session 10

13:30–15:00

— Session 10A: Generation II

  • 13:30–13:48
    Counterfactual Story Reasoning and Generation (# 3328)
  • 13:48–14:06
    Encode, Tag, Realize: High-Precision Text Editing (# 2395)
  • 14:06–14:24
    Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation (# 128)
  • 14:24–14:42
    Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation (# 1947)
  • 14:42–15:00
    A Topic Augmented Text Generation Model: Joint Learning of Semantics and Structural Features (# 2822)

— Session 10B: Speech, Vision, Robotics, Multimodal and Grounding II

  • 13:30–13:48
    LXMERT: Learning Cross-Modality Encoder Representations from Transformers (# 3048)
  • 13:48–14:06
    Phrase Grounding by Soft-Label Chain Conditional Random Field (# 3765)
  • 14:06–14:24
    What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues (# 549)
  • 14:24–14:42
    YouMakeup: A Large-Scale Domain-Specific Multimodal Dataset for Fine-Grained Semantic Comprehension (# 122)
  • 14:42–15:00
    DEBUG: A Dense Bottom-Up Grounding Approach for Natural Language Video Localization (# 167)

— Session 10C: Information Extraction III

  • 13:30–13:48
    CrossWeigh: Training Named Entity Tagger from Imperfect Annotations (# 2712)
  • 13:48–14:06
    Neural Cross-Lingual Event Detection with Minimal Parallel Resources (# 1723)
  • 14:06–14:24
    Open Domain Web Keyphrase Extraction Beyond Language Modeling (# 1119)
  • 14:24–14:42
    TuckER: Tensor Factorization for Knowledge Graph Completion (# 990)
  • 14:42–15:00
    Weakly Supervised Domain Detection (# TACL-1712)

— Session 10D: Information Retrieval and Document Analysis II

  • 13:30–13:48
    Human-grounded Evaluations of Explanation Methods for Text Classification (# 425)
  • 13:48–14:06
    A Context-based Framework for Modeling the Role and Function of On-line Resource Citations in Scientific Literature (# 793)
  • 14:06–14:24
    Adversarial Reprogramming of Text Classification Neural Networks (# 28)
  • 14:24–14:42
    Document Hashing with Mixture-Prior Generative Models (# 1676)
  • 14:42–15:00
    On Efficient Retrieval of Top Similarity Vectors (# 3421)

— Poster & Demo Session 10: Sentiment Analysis and Argument Mining, Lexical Semantics, Sentence-level Semantics

  • 13:30–15:00
    • Multiplex Word Embeddings for Selectional Preference Acquisition (# 623)
    • MulCode: A Multiplicative Multi-way Model for Compressing Neural Language Model (# 700)
    • It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution (# 1220)
    • Examining Gender Bias in Languages with Grammatical Gender (# 1741)
    • Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation (# 3071)
    • Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations (# 3702)
    • Do NLP Models Know Numbers? Probing Numeracy in Embeddings (# 3972)
    • A Split-and-Recombine Approach for Follow-up Query Analysis (# 552)
    • Text2Math: End-to-end Parsing Text into Math Expressions (# 1086)
    • Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions (# 1287)
    • Syntax-aware Multilingual Semantic Role Labeling (# 1351)
    • Cloze-driven Pretraining of Self-attention Networks (# 1446)
    • Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling (# 1558)
    • A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling (# 1836)
    • Transfer Fine-Tuning: A BERT Case Study (# 2060)
    • Data-Anonymous Encoding for Text-to-SQL Generation (# 2231)
    • Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks (# 2993)
    • Learning Programmatic Idioms for Scalable Semantic Parsing (# 3121)
    • JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation (# 3451)
    • Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study (# 3527)
    • Modeling Graph Structure in Transformer for Better AMR-to-Text Generation (# 3835)
    • Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks (# 72)
    • Learning Explicit and Implicit Structures for Targeted Sentiment Analysis (# 281)
    • Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification (# 317)
    • Emotion Detection with Neural Personal Discrimination (# 402)
    • Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification (# 475)
    • LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification (# 891)
    • Leveraging Structural and Semantic Correspondence for Attribute-Oriented Aspect Sentiment Discovery (# 896)
    • From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining (# 936)
    • Shallow Domain Adaptive Embeddings for Sentiment Analysis (# 1477)
    • Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification (# 1691)
    • A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis (# 1705)
    • Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning (# 1713)
    • A Dataset of General-Purpose Rebuttal (# 1840)
    • Rethinking Attribute Representation and Injection for Sentiment Classification (# 1992)
    • A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis (# 2236)
    • Automatic Argument Quality Assessment - New Datasets and Methods (# 2447)
    • Fine-Grained Analysis of Propaganda in News Article (# 2493)
    • Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis (# 2707)
    • Sequential Learning of Convolutional Features for Effective Text Classification (# 3182)
    • The Role of Pragmatic and Discourse Context in Determining Argument Impact (# 3909)
    • Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree (# 4182)

Coffee Break

15:00–15:30

Session 11

15:30–16:18

— Session 11A: Machine Translation and Multilinguality III

  • 15:30–15:42
    Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization (# 2192)
  • 15:42–15:54
    Simple and Effective Noisy Channel Modeling for Neural Machine Translation (# 2869)
  • 15:54–16:06
    MultiFiT: Efficient Multi-lingual Language Model Fine-tuning (# 745)
  • 16:06–16:18
    Hint-Based Training for Non-Autoregressive Machine Translation (# 1064)

— Session 11B: Syntax, Parsing, and Linguistic Theories

  • 15:30–15:42
    Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers (# 3860)
  • 15:42–15:54
    Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing (# 1832)
  • 15:54–16:06
    Multilingual Grammar Induction with Continuous Language Identification (# 3883)
  • 16:06–16:18
    Quantifying the Semantic Core of Gender Systems (# 2637)

— Session 11C: Sentiment and Social Media

  • 15:30–15:42
    Perturbation Sensitivity Analysis to Detect Unintended Model Biases (# 3447)
  • 15:42–15:54
    Automatically Inferring Gender Associations from Language (# 3519)
  • 15:54–16:06
    Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes (# 3715)
  • 16:06–16:18
    Minimally Supervised Learning of Affective Events Using Discourse Relations (# 3493)

— Session 11D: Information Extraction IV

  • 15:30–15:42
    Event Detection with Multi-Order Graph Convolution and Aggregated Attention (# 835)
  • 15:42–15:54
    Coverage of Information Extraction from Sentences and Paragraphs (# 1285)
  • 15:54–16:06
    HMEAE: Hierarchical Modular Event Argument Extraction (# 2354)
  • 16:06–16:18
    Entity, Relation, and Event Extraction with Contextualized Span Representations (# 3930)

— Poster & Demo Session 11: Discourse and Pragmatics, Linguistic Theories, Textual Inference, Question Answering, Summarization and Generation

  • 15:30–16:18
    • Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains (# 982)
    • Split or Merge: Which is Better for Unsupervised RST Parsing? (# 1701)
    • BERT for Coreference Resolution: Baselines and Analysis (# 3731)
    • Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs (# 3815)
    • Event Causality Recognition Exploiting Multiple Annotators’ Judgments and Background Knowledge (# 4125)
    • What Part of the Neural Network Does This? Understanding LSTMs by Measuring and Dissecting Neurons (# 1181)
    • Quantity doesn’t buy quality syntax with neural language models (# 1227)
    • Higher-order Comparisons of Sentence Encoder Representations (# 2000)
    • Text Genre and Training Data Size in Human-like Parsing (# 2379)
    • Feature2Vec: Distributional semantic modelling of human property knowledge (# 2535)
    • Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation (# 424)
    • GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level (# 961)
    • Revisiting the Evaluation of Theory of Mind through Question Answering (# 1069)
    • Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering (# 1319)
    • A Span-Extraction Dataset for Chinese Machine Reading Comprehension (# 2131)
    • MICRON: Multigranular Interaction for Contextualizing RepresentatiON in Non-factoid Question Answering (# 2177)
    • Machine Reading Comprehension Using Structural Knowledge Graph-aware Network (# 2229)
    • Answering Conversational Questions on Structured Data without Logical Forms (# 2851)
    • Improving Answer Selection and Answer Triggering using Hard Negatives (# 2859)
    • Can You Unpack That? Learning to Rewrite Questions-in-Context (# 3163)
    • Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning (# 3203)
    • Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model (# 3303)
    • QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions (# 3355)
    • Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension (# 3470)
    • A Gated Self-attention Memory Network for Answer Selection (# 4067)
    • Polly Want a Cracker: Analyzing Performance of Parroting on Paraphrase Generation Datasets (# 91)
    • Query-focused Sentence Compression in Linear Time (# 482)
    • Generating Personalized Recipes from Historical User Preferences (# 1255)
    • Generating Highly Relevant Questions (# 1644)
    • Improving Neural Story Generation by Targeted Common Sense Grounding (# 1674)
    • Abstract Text Summarization: A Low Resource Challenge (# 1963)
    • Generating Modern Poetry Automatically in Finnish (# 2083)
    • SUM-QE: a BERT-based Summary Quality Estimation Model (# 2422)
    • An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation (# 2870)
    • Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses (# 3236)
    • Learning Rhyming Constraints using Structured Adversaries (# 3950)
    • Question-type Driven Question Generation (# 4105)
    • Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization (# 4107)
    • Clause-Wise and Recursive Decoding for Complex and Cross-Domain Text-to-SQL Generation (# 285)
    • Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects (# 1774)
    • Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching (# 2244)
    • What Does This Word Mean? Explaining Contextualized Embeddings with Natural Language De?nition (# 2765)
    • Pre-Training BERT on Domain Resources for Short Answer Grading (# 3058)
    • WIQA: A dataset for “What if…” reasoning over procedural text (# 3276)
    • Evaluating BERT for natural language inference: A case study on the CommitmentBank (# 3606)
    • Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs (# 3974)

Mini-Break

16:18–16:30

Session 12

16:30–17:24

— Session 12A: Machine Translation and Multilinguality IV

  • 16:30–16:48
    The FLORES Evaluation Datasets for Low-Resource Machine Translation: NepaliñEnglish and SinhalañEnglish (# 3349)
  • 16:48–17:06
    Mask-Predict: Parallel Decoding of Conditional Masked Language Models (# 1204)
  • 17:06–17:24
    Learning to Copy for Automatic Post-Editing (# 777)

— Session 12B: Lexical Semantics III

  • 16:30–16:48
    Exploring Human Gender Stereotypes with Word Association Test (# 1912)
  • 16:48–17:06
    Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition (# TACL-1729)
  • 17:06–17:24
    Where’s My Head? Definition, Dataset and Models for Numeric Fused-Heads Identification and Resolution (# TACL-1648)

— Session 12C: Generation III

  • 16:30–16:48
    A Modular Architecture for Unsupervised Sarcasm Generation (# 2725)
  • 16:48–17:06
    Generating Classical Chinese Poems from Vernacular Chinese (# 2534)
  • 17:06–17:24
    Set to Ordered Text: Generating Discharge Instructions from Medical Billing Codes (# 724)

— Session 12D: Phonology, Word Segmentation, and Parsing

  • 16:30–16:48
    Constraint-based Learning of Phonological Processes (# 451)
  • 16:48–17:06
    Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation (# 1340)
  • 17:06–17:24
    A Generative Model for Punctuation in Dependency Trees (# TACL-1582)

— Poster & Demo Session 12: Information Extraction, Text Mining and NLP Applications, Social Media and Computational Social Science, Sentiment Analysis and Argument Mining

  • 16:30–17:24
    • An Attentive Fine-Grained Entity Typing Model with Latent Type Representation (# 189)
    • An Improved Neural Baseline for Temporal Relation Extraction (# 193)
    • Improving Fine-grained Entity Typing with Entity Linking (# 822)
    • Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities (# 1222)
    • Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas (# 1686)
    • Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition (# 1760)
    • A Buster Keaton of Linguistics: First Automated Approaches for the Extraction of Vossian Antonomasia (# 1782)
    • Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing (# 1799)
    • FewRel 2.0: Towards More Challenging Few-Shot Relation Classification (# 2697)
    • ner and pos when nothing is capitalized (# 2992)
    • CaRB: A Crowdsourced Benchmark for Open IE (# 4099)
    • Weakly Supervised Attention Networks for Entity Recognition (# 4158)
    • Revealing and Predicting Online Persuasion Strategy with Elementary Units (# 19)
    • A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis (# 849)
    • Learning with Noisy Labels for Sentence-level Sentiment Classification (# 1157)
    • DENS: A Dataset for Multi-class Emotion Analysis (# 1347)
    • Multi-Task Stance Detection with Sentiment and Stance Lexicons (# 3016)
    • A Robust Self-Learning Framework for Cross-Lingual Text Classification (# 3085)
    • Learning to Flip the Sentiment of Reviews from Non-Parallel Corpora (# 3869)
    • Label Embedding using Hierarchical Structure of Labels for Twitter Classification (# 80)
    • Interpretable Word Embeddings via Informative Priors (# 393)
    • Adversarial Removal of Demographic Attributes Revisited (# 2101)
    • A deep-learning framework to detect sarcasm targets (# 2170)
    • In Plain Sight: Media Bias Through the Lens of Factual Reporting (# 2759)
    • Incorporating Label Dependencies in Multilabel Stance Detection (# 3333)
    • Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts (# 3345)
    • Charge-Based Prison Term Prediction with Deep Gating Network (# 759)
    • Restoring ancient text using deep learning: a case study on Greek epigraphy (# 1020)
    • Embedding Lexical Features via Tensor Decomposition for Small Sample Humor Recognition (# 1068)
    • EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks (# 1192)
    • Neural News Recommendation with Multi-Head Self-Attention (# 1581)
    • What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis (# 1611)
    • Telling the Whole Story: A Manually Annotated Chinese Dataset for the Analysis of Humor in Jokes (# 1737)
    • Generating Natural Anagrams: Towards Language Generation Under Hard Combinatorial Constraints (# 1763)
    • STANCY: Stance Classification Based on Consistency Cues (# 2013)
    • Cross-lingual intent classification in a low resource industrial setting (# 2551)
    • SoftRegex: Generating Regex from Natural Language Descriptions using Softened Regex Equivalence (# 2839)
    • Using Clinical Notes with Time Series Data for ICU Management (# 2907)
    • Spelling-Aware Construction of Macaronic Texts for Teaching Foreign-Language Vocabulary (# 3639)
    • Towards Machine Reading for Interventions from Humanitarian-Assistance Program Literature (# 3718)
    • RUN through the Streets: A New Dataset and Baseline Models for Realistic Urban Navigation (# 4014)
    • Context-Aware Conversation Thread Detection in Multi-Party Chat (# 162)
    • SciBERT: A Pretrained Language Model for Scientific Text (# 3115)

Mini-Break

17:24–17:30

Best Paper Awards and Closing

17:30–18:00