ACL 2018: Schedule

Overview

Tutorials
Sun 15th
09:00 Tutorials
12:30 Lunch
13:30 Tutorials

18:00 Welcome Reception

Conference
Mon 16th
09:00 Welcome Session

10:30 Oral Presentations

12:30 Poster Session
14:00 Oral Presentations

16:10 Oral Presentations

18:15 Student Recruitment

Conference
Tue 17th
09:00 Invited Talk

10:30 Oral Presentations

12:30 Poster Session
14:00 Oral Presentations

15:30 Oral Presentations

17:20 Business Meeting
19:30 Social Event

Conference
Wed 18th
09:00 Invited Talk

10:30 Oral Presentations

12:30 Poster Session
14:00 Oral Presentations

15:30 Best Paper Session

17:30 Lifetime Achievement

Workshops
Thu 19th
09:00 Workshops
12:30 Lunch
13:30 Workshops

Workshops
Fri 20th
09:00 Workshops
12:30 Lunch
13:30 Workshops

Conference days include system demonstration posters and Student Research Workshop

Details

Posters for the Student Research Workshop and System Demonstrations run concurrently with main conference poster sessions. Please note that additional registration is required for workshops and tutorials.

Hover over each entry to find out author and abstract information. You can use the search box to filter by author name, title, session topic or TACL papers (enter 'tacl'). Click on an entry to add it to your schedule; once you have selected your preferred sessions, you can download all as a .ics at the bottom of the page, which can be imported into Outlook, macOS Calendar and Google Calendar. If you use a relatively modern browser, your selected sessions should also be saved in the browser. ‘▶︎’ denotes current session ‘★’ denotes a selected session. To get a shareable link to an entry, right-click on the icon and copy the link. You can generally click a paper title for further information, but note that some TACL papers are not yet published, so the click-through link may fail.

Sunday: July 15

09:00–12:30 Tutorial
Tutorial 100 Things You Always Wanted to Know about Semantics & Pragmatics But Were Afraid to Ask Tutorial Neural Approaches to Conversational AI Tutorial Variational Inference and Deep Generative Models Tutorial Connecting Language and Vision to Actions
12:30–13:30 Lunch
13:30–17:00 Tutorial
Tutorial Beyond Multiword Expressions: Processing Idioms and Metaphors Tutorial Neural Semantic Parsing Tutorial Deep Reinforcement Learning for NLP Tutorial Multi-lingual Entity Discovery and Linking
18:00–20:00 Welcome Reception Melbourne Room 1, MCEC

Monday: July 16

09:00–10:00 Welcome Session & Presidential Address Plenary, MCEC
10:00–10:30 Coffee Break Level 2 Foyer and Melbourne Room, MCEC
10:30–12:10 Oral Presentations 1Long Papers and TACL Papers
Session 1A: Word Semantics 1 Chair: Gerard de Melo	Session 1B: Machine Translation 1 Chair: Graham Neubig	Session 1C: Information Extraction 1 Chair: William Wang	Session 1D: Summarization Chair: Dragomir Radev	Session 1E: Resource, Annotation Chair: Vered Shwartz	Session 1F: Argument Mining Chair: Vincent Ng
Plenary, MCEC	Room 203/204, MCEC	Room 210/211, MCEC	Room 212/213, MCEC	Room 219, MCEC	Room 220, MCEC
10:30 Probabilistic FastText for Multi-Sense Word Embeddings 10:55 A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors 11:20 Unsupervised Learning of Distributional Relation Vectors 11:45 Explicit Retrofitting of Distributional Word Vectors	10:30 Unsupervised Neural Machine Translation with Weight Sharing 10:55 Triangular Architecture for Rare Language Translation 11:20 Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates 11:45 The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation	10:30 Ultra-Fine Entity Typing 10:55 Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking 11:20 Improving Knowledge Graph Embedding Using Simple Constraints 11:45 Towards Understanding the Geometry of Knowledge Graph Embeddings	10:30 A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss 10:55 Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer Networks 11:20 Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization 11:45 Simple and Effective Text Simplification Using Semantic and Neural Methods	10:30 Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words 10:55 Comprehensive Supersense Disambiguation of English Prepositions and Possessives 11:20 A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature 11:45 Efficient Online Scalar Annotation with Bounded Support	10:30 Neural Argument Generation Augmented with Externally Retrieved Evidence 10:55 A Stylometric Inquiry into Hyperpartisan and Fake News 11:20 Retrieval of the Best Counterargument without Prior Topic Knowledge 11:45 Finding convincing arguments using scalable Bayesian preference learning
12:10–12:30 Short Break Level 2 Foyer and Melbourne Room, MCEC
12:30–14:00 Poster Session 1
Poster Session 1A: Machine Learning LinkNBed: Multi-Graph Representation Learning with Entity Linkage Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures Graph-to-Sequence Learning using Gated Graph Neural Networks Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context Bridging CNNs, RNNs, and Weighted Finite-State Machines Zero-shot Learning of Classifiers from Natural Language Quantification Sentence-State LSTM for Text Representation Universal Language Model Fine-tuning for Text Classification Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement Continuous Learning in a Hierarchical Multiscale Neural Network Restricted Recurrent Neural Tensor Networks: Exploiting Word Frequency and Compositionality Deep RNNs Encode Soft Hierarchical Syntax Word Error Rate Estimation for Speech Recognition: e-WER Towards Robust and Privacy-preserving Text Representations HotFlip: White-Box Adversarial Examples for Text Classification Domain Adapted Word Embeddings for Improved Sentiment Classification Poster Session 1B: Semantics Improving Text-to-SQL Evaluation Methodology Semantic Parsing with Syntax- and Table-Aware SQL Generation Multitask Parsing Across Semantic Representations Character-Level Models versus Morphology in Semantic Role Labeling AMR Parsing as Graph Prediction with Latent Alignment Accurate SHRG-Based Semantic Parsing Using Intermediate Representations to Solve Math Word Problems Discourse Representation Structure Parsing Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations Event2Mind: Commonsense Inference on Events, Intents, and Reactions Neural Adversarial Training for Semi-supervised Japanese Predicate-argument Structure Analysis Active learning for deep semantic parsing Learning Thematic Similarity Metric from Article Sections Using Triplet Networks Unsupervised Semantic Frame Induction using Triclustering Poster Session 1C: Information Extraction, Text Mining Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism Self-regulation: Employing a Generative Adversarial Network to Improve Event Detection Context-Aware Neural Model for Temporal Information Extraction Temporal Event Knowledge Acquisition via Identifying Narratives Textual Deconvolution Saliency (TDS) : a deep tool box for linguistic analysis Learning Distributed Representations of Texts and Entities from Knowledge Base From Characters to Time Intervals: New Paradigms for Evaluation and Neural Parsing of Time Normalizations Identification of Alias Links among Participants in Narratives Named Entity Recognition With Parallel Recurrent Neural Networks Type-Sensitive Knowledge Base Inference Without Explicit Type Supervision A Walk-based Model on Entity Graphs for Relation Extraction Ranking-Based Automatic Seed Selection and Noise Reduction for Weakly Supervised Relation Extraction Automatic Extraction of Commonsense LocatedNear Knowledge Poster Session 1D: Discourse, Linguistics, Cognitive Modeling Coherence Modeling of Asynchronous Conversations: A Neural Entity Grid Approach Deep Reinforcement Learning for Chinese Zero Pronoun Resolution Entity-Centric Joint Modeling of Japanese Coreference Resolution and Predicate Argument Structure Analysis Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering Fully Statistical Neural Belief Tracking Constraining MGbank: Agreement, L-Selection and Supertagging in Minimalist Grammars Not that much power: Linguistic alignment is influenced more by low-level linguistic features rather than social power Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers Poster Session 1E: Resources and Evaluation TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation Give Me More Feedback: Annotating Argument Persuasiveness and Related Attributes in Student Essays Inherent Biases in Reference-based Evaluation for Grammatical Error Correction The price of debiasing automatic metrics in natural language evalaution A Named Entity Recognition Shootout for German A dataset for identifying actionable feedback in collaborative software development SNAG: Spoken Narratives and Gaze Dataset Analogical Reasoning on Chinese Morphological and Semantic Relations Construction of a Chinese Corpus for the Analysis of the Emotionality of Metaphorical Expressions Automatic Article Commenting: the Task and Dataset Improved Evaluation Framework for Complex Plagiarism Detection Poster Session 1F: Summarization, Social Media Neural Document Summarization by Jointly Learning to Score and Select Sentences Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation Global Encoding for Abstractive Summarization A Language Model based Evaluator for Sentence Compression Modeling and Prediction of Online Product Review Helpfulness: A Survey Mining Cross-Cultural Differences and Similarities in Social Media Classification of Moral Foundations in Microblog Political Discourse Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer Diachronic degradation of language models: Insights from social media Poster Session 1G: System Demonstrations Platforms for Non-speakers Annotating Names in Any Language NovelPerspective: Identifying Point of View Characters Out-of-the-box Universal Romanization Tool uroman HarriGT: A Tool for Linking News to Science Jack the Reader -- A Machine Reading Framework YEDDA: A Lightweight Collaborative Text Span Annotation Tool NextGen AML: Distributed Deep Learning based Language Technologies to Augment Anti Money Laundering Investigation NLP Web Services for Resource-Scarce Languages
14:00–15:40 Oral Presentations 2Long Papers and TACL Papers
Session 2A: Semantic Parsing 1 Chair: Jonathan Berant	Session 2B: Multilinguality Chair: Shuly Wintner	Session 2C: Question Answering 1 Chair: Diane J. Litman	Session 2D: Generation 1 Chair: Lu Wang	Session 2E: Vision Chair: Richard Socher	Session 2F: Sentiment Chair: Yue Zhang
Plenary, MCEC	Room 203/204, MCEC	Room 210/211, MCEC	Room 212/213, MCEC	Room 219, MCEC	Room 220, MCEC
14:00 Coarse-to-Fine Decoding for Neural Semantic Parsing 14:25 Confidence Modeling for Neural Semantic Parsing 14:50 StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing 15:15 Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing	14:00 On the Limitations of Unsupervised Bilingual Dictionary Induction 14:25 A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings 14:50 A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling 15:15 Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly Applicable	14:00 Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge 14:25 Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds 14:50 Simple and Effective Multi-Paragraph Reading Comprehension 15:15 Semantically Equivalent Adversarial Rules for Debugging NLP models	14:00 Style Transfer Through Back-Translation 14:25 Generating Fine-Grained Open Vocabulary Entity Type Descriptions 14:50 Hierarchical Neural Story Generation 15:15 Generating Sentences by Editing Prototypes	14:00 No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling 14:25 Bridging Languages through Images with Deep Partial Canonical Correlation Analysis 14:50 Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search 15:15 What Action Causes This? Towards Naive Physical Action-Effect Prediction	14:00 Transformation Networks for Target-Oriented Sentiment Classification 14:25 Target-Sensitive Memory Networks for Aspect Sentiment Classification 14:50 Identifying Transferable Information Across Domains for Cross-domain Sentiment Classification 15:15 Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach
15:40–16:10 Coffee Break Level 2 Foyer and Melbourne Room, MCEC
16:10–17:50 Oral Presentations 3Long Papers and TACL Papers
Session 3A: Inference, Reasoning Chair: Xiaodan Zhu	Session 3B: Machine Learning 1 Chair: Sujith Ravi	Session 3C: Text Mining and Applications Chair: Sadao Kurohashi	Session 3D: Dialog System 1 Chair: Zornitsa Kozareva	Session 3E: Linguistics, Psycholinguistics and Cognitive Modeling Chair: Kevin Cohen	Session 3F: Parsing 1 Chair: Liang Huang
Plenary, MCEC	Room 203/204, MCEC	Room 210/211, MCEC	Room 212/213, MCEC	Room 219, MCEC	Room 220, MCEC
16:10 Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference 16:35 Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module 17:00 Reasoning with Sarcasm by Reading In-Between 17:25 Representation Learning for Grounded Spatial Reasoning	16:10 Adversarial Contrastive Estimation 16:35 Adaptive Scaling for Sparse Detection in Information Extraction 17:00 Strong Baselines for Neural Semi-Supervised Learning under Domain Shift 17:25 Fluency Boost Learning and Inference for Neural Grammatical Error Correction	16:10 A Neural Architecture for Automated ICD Coding 16:35 Domain Adaptation with Adversarial Training and Graph Embeddings 17:00 TDNN: A Two-stage Deep Neural Network for Prompt-independent Automated Essay Scoring 17:25 Measuring the Evolution of a Scientific Field through Citation Frames	16:10 Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation 16:35 Learning to Control the Specificity in Neural Response Generation 17:00 Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network 17:25 MojiTalk: Generating Emotional Responses at Scale	16:10 Taylor's law for Human Linguistic Sequences 16:35 A Framework for Representing Language Acquisition in a Population Setting 17:00 On the Complexity and Typology of Inflectional Morphological Systems 17:25 Native Language Cognate Effects on Second Language Lexical Choice	16:10 Prefix Lexicalization of Synchronous CFGs using Synchronous TAG 16:35 Straight to the Tree: Constituency Parsing with Neural Syntactic Distance 17:00 Gaussian Mixture Latent Vector Grammars 17:25 Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples
18:15–19:45 Student Recruitment Event Showtime and Common Man

Tuesday: July 17

09:00–10:00 Invited Talk 1: Carolyn Penstein Rosé Plenary, MCEC
10:00–10:30 Coffee Break Level 2 Foyer and Melbourne Room, MCEC
10:30–12:10 Oral Presentations 4Long Papers and TACL Papers
Session 4A: Word Semantics 2 Chair: Valia Kordoni	Session 4B: Machine Translation 2 Chair: Stefan Riezler	Session 4C: Information Extraction 2 Chair: Kai-Wei Chang	Session 4D: Dialog System 2 Chair: Zornitsa Kozareva	Session 4E: Evaluation Chair: Bonnie Webber	Session 4F: Parsing 2 Chair: Joakim Nivre
Plenary, MCEC	Room 203/204, MCEC	Room 210/211, MCEC	Room 212/213, MCEC	Room 219, MCEC	Room 220, MCEC
10:30 Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations 10:55 Searching for the X-Factor: Exploring Corpus Subjectivity for Word Embeddings 11:20 Word Embedding and WordNet Based Metaphor Identification and Interpretation 11:45 Incorporating Latent Meanings of Morphological Compositions to Enhance Word Embeddings	10:30 A Stochastic Decoder for Neural Machine Translation 10:55 Forest-Based Neural Machine Translation 11:20 Context-Aware Neural Machine Translation Learns Anaphora Resolution 11:45 Document Context Neural Machine Translation with Memory Networks	10:30 Which Melbourne? Augmenting Geocoding with Maps 10:55 Learning Prototypical Goal Activities for Locations 11:20 Guess Me if You Can: Acronym Disambiguation for Enterprises 11:45 A Multi-Axis Annotation Scheme for Event Temporal Relations	10:30 Exemplar Encoder-Decoder for Neural Conversation Generation 10:55 DialSQL: Dialogue Based Structured Query Generation 11:20 Conversations Gone Awry: Detecting Early Signs of Conversational Failure 11:45 Detecting Institutional Dialog Acts in Police Traffic Stops	10:30 Are BLEU and Meaning Representation in Opposition? 10:55 Automatic Metric Validation for Grammatical Error Correction 11:20 The Hitchhiker’s Guide to Testing Statistical Significance in Natural Language Processing 11:45 Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets	10:30 Distilling Knowledge for Search-based Structured Prediction 10:55 Stack-Pointer Networks for Dependency Parsing 11:20 Twitter Universal Dependency Parsing for African-American and Mainstream American English 11:45 LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better
12:10–12:30 Short Break Level 2 Foyer and Melbourne Room, MCEC
12:30–14:00 Poster Session 2
Poster Session 2A: Student Research Workshop Towards Opinion Summarization of Customer Reviews Sampling Informative Training Data for RNN Language Models Learning-based Composite Metrics for Improved Caption Evaluation Recursive Neural Network Based Preordering for English-to-Japanese Machine Translation Pushing the Limits of Radiology with Joint Modeling of Visual and Textual Information Recognizing Complex Entity Mentions: A Review and Future Directions Automatic Detection of Cross-Disciplinary Knowledge Associations Language Identification and Named Entity Recognition in Hinglish Code Mixed Tweets German and French Neural Supertagging Experiments for LTAG Parsing SuperNMT: Neural Machine Translation with Semantic Supersenses and Syntactic Supertags Unsupervised Semantic Abstractive Summarization Poster Session 2B: Dialog and Interactive Systems, Multilinguality Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures An End-to-end Approach for Handling Unknown Slot Values in Dialogue State Tracking Global-Locally Self-Attentive Encoder for Dialogue State Tracking Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems Tailored Sequence to Sequence Models to Different Conversation Scenarios Knowledge Diffusion for Neural Dialogue Generation Generating Informative Responses with Controlled Sentence Function Sentiment Adaptive End-to-End Dialog Systems Task-oriented Dialogue System for Automatic Diagnosis Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce Embedding Learning Through Multilingual Concept Induction Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data A Multi-task Approach to Learning Multilingual Representations Characterizing Departures from Linearity in Word Translation Filtering and Mining Parallel Data in a Joint Multilingual Space Poster Session 2C: Information Extraction, Text Mining Chinese NER Using Lattice LSTM Nugget Proposal Networks for Chinese Event Detection Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation Discovering Implicit Knowledge with Unary Relations Improving Entity Linking by Modeling Latent Relations between Mentions Dating Documents using Graph Convolution Networks Hybrid semi-Markov CRF for Neural Sequence Labeling A Study of the Importance of External Knowledge in the Named Entity Recognition Task Improving Topic Quality by Promoting Named Entities in Topic Modeling Obligation and Prohibition Extraction Using Hierarchical RNNs Poster Session 2D: Generation A Graph-to-Sequence Model for AMR-to-Text Generation GTR-LSTM: A Triple Encoder for Sentence Generation from RDF Data Learning to Write with Cooperative Discriminators A Neural Approach to Pun Generation Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction Paper Abstract Writing through Editing Mechanism Conditional Generators of Words Definitions Poster Session 2E: Question Answering DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension Stochastic Answer Networks for Machine Reading Comprehension Multi-Granularity Hierarchical Attention Fusion Networks for Reading Comprehension and Question Answering Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension Efficient and Robust Question Answering from Minimal Context over Documents Denoising Distantly Supervised Open-Domain Question Answering Question Condensing Networks for Answer Selection in Community Question Answering Constructing Datasets for Multi-hop Reading Comprehension Across Documents CNN for Text-Based Multiple Choice Question Answering Narrative Modeling with Memory Chains and Semantic Supervision Injecting Relational Structural Representation in Neural Networks for Question Similarity Poster Session 2F: Machine Translation Towards Robust Neural Machine Translation Attention Focusing for Neural Machine Translation by Bridging Source and Target Embeddings Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning Accelerating Neural Transformer via an Average Attention Network How Much Attention Do You Need? A Granular Analysis of Neural Machine Translation Architectures Scheduled Multi-Task Learning: From Syntax to Translation Phrase Table Induction Using In-Domain Monolingual Data for Domain Adaptation in Statistical Machine Translation Learning to Remember Translation History with a Continuous Cache Modeling Past and Future for Neural Machine Translation Leveraging Orthographic Similarity for Multilingual Neural Transliteration A Simple and Effective Approach to Coverage-Aware Neural Machine Translation Dynamic Sentence Sampling for Efficient Training of Neural Machine Translation Compositional Representation of Morphologically-Rich Input for Neural Machine Translation Extreme Adaptation for Personalized Neural Machine Translation Multi-representation ensembles and delayed SGD updates improve syntax-based NMT Learning from Chunk-based Feedback in Neural Machine Translation Bag-of-Words as Target for Neural Machine Translation Improving Beam Search by Removing Monotonic Constraint for Neural Machine Translation Poster Session 2G: System Demonstrations DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training Data Sentence Suggestion of Japanese Functional Expressions for Chinese-speaking Learners Translating a Language You Don't Know In the Chinese Room SANTO: A Web-based Annotation Tool for Ontology-driven Slot Filling NCRF++: An Open-source Neural Sequence Labeling Toolkit TALEN: Tool for Annotation of Low-resource ENtities A Web-scale system for scientific knowledge exploration ScoutBot: A Dialogue System for Collaborative Navigation
14:00–15:00 Oral Presentations 5Short Papers
Session 5A: Semantics 1 Chair: Kevin Duh	Session 5B: Machine Translation, Multilinguality 1 Chair: Valia Kordoni	Session 5C: Information Extraction 1 Chair: Feiyu Xu	Session 5D: Dialog System, Discourse Chair: Daisuke Kawahara	Session 5E: Vision, Linguistics, Resource and Evaluation Chair: Gerard de Melo	Session 5F: Parsing, Morphology Chair: Emily Pitler
Plenary, MCEC	Room 203/204, MCEC	Room 210/211, MCEC	Room 212/213, MCEC	Room 219, MCEC	Room 220, MCEC
14:00 Leveraging distributed representations and lexico-syntactic fixedness for token-level prediction of the idiomaticity of English verb-noun combinations 14:15 Using pseudo-senses for improving the extraction of synonyms from word embeddings 14:30 Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora 14:45 Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling	14:00 Sparse and Constrained Attention for Neural Machine Translation 14:15 Neural Hidden Markov Model for Machine Translation 14:30 Bleaching Text: Abstract Features for Cross-lingual Gender Prediction 14:45 Orthographic Features for Bilingual Lexicon Induction	14:00 Neural Cross-Lingual Coreference Resolution And Its Application To Entity Linking 14:15 Judicious Selection of Training Data in Assisting Language for Multilingual Neural NER 14:30 Neural Open Information Extraction 14:45 Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention	14:00 Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots 14:15 Improving Slot Filling in Spoken Language Understanding with Joint Pointer and Attention 14:30 Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing 14:45 Modeling discourse cohesion for discourse parsing via memory network	14:00 SciDTB: Discourse Dependency TreeBank for Scientific Abstracts 14:15 Predicting accuracy on large datasets from smaller pilot data 14:30 The Influence of Context on Sentence Acceptability Judgements 14:45 Do Neural Network Cross-Modal Mappings Really Bridge Modalities?	14:00 Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing 14:15 Linear-time Constituency Parsing with RNNs and Dynamic Programming 14:30 Simpler but More Accurate Semantic Dependency Parsing 14:45 Simplified Abugidas
15:00–15:30 Coffee Break Level 2 Foyer and Melbourne Room, MCEC
15:30–17:10 Oral Presentations 6Long Papers and TACL Papers
Session 6A: Semantic Parsing 2 Chair: Luke Zettlemoyer	Session 6B: Machine Learning 2 Chair: Yi Yang	Session 6C: Question Answering 2 Chair: Richard Socher	Session 6D: Generation 2 Chair: Jackie Cheung	Session 6E: Social Media Chair: David Jurgens	Session 6F: Information Retrieval Chair: Hang Li
Plenary, MCEC	Room 203/204, MCEC	Room 210/211, MCEC	Room 212/213, MCEC	Room 219, MCEC	Room 220, MCEC
15:30 Weakly Supervised Semantic Parsing with Abstract Examples 15:55 Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback 16:20 AMR dependency parsing with a typed semantic algebra 16:45 Sequence-to-sequence Models for Cache Transition Systems	15:30 Batch IS NOT Heavy: Learning Word Representations From All Samples 15:55 Backpropagating through Structured Argmax using a SPIGOT 16:20 Learning How to Actively Learn: A Deep Imitation Learning Approach 16:45 Training Classifiers with Natural Language Explanations	15:30 Did the Model Understand the Question? 15:55 Harvesting Paragraph-level Question-Answer Pairs from Wikipedia 16:20 Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification 16:45 The NarrativeQA Reading Comprehension Challenge	15:30 Language Generation via DAG Transduction 15:55 A Distributional and Orthographic Aggregation Model for English Derivational Morphology 16:20 Deep-speare: A joint neural model of poetic language, meter and rhyme 16:45 NeuralREG: An end-to-end approach to referring expression generation	15:30 Stock Movement Prediction from Tweets and Historical Prices 15:55 Rumor Detection on Twitter with Tree-structured Recursive Neural Networks 16:20 Visual Attention Model for Name Tagging in Multimodal Social Media 16:45 Multimodal Named Entity Disambiguation for Noisy Social Media Posts	15:30 Semi-supervised User Geolocation via Graph Convolutional Networks 15:55 Document Modeling with External Attention for Sentence Extraction 16:20 Neural Models for Documents with Metadata 16:45 NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing
17:10–17:20 Short Break Level 2 Foyer and Melbourne Room, MCEC
17:20–18:50 ACL Business Meeting Plenary, MCEC
19:30–22:30 Social Event Sea Life Melbourne

Wednesday: July 18

09:00–10:00 Invited Talk 2: Anton van den Hengel Plenary, MCEC
10:00–10:30 Coffee Break Level 2 Foyer and Melbourne Room, MCEC
10:30–12:10 Oral Presentations 7Long Papers and TACL Papers
Session 7A: Semantic Parsing 3 Chair: Lluís Màrquez	Session 7B: Language/Document Model Chair: Chris Dyer	Session 7C: Information Extraction 3 Chair: Sebastian Riedel	Session 7D: Dialog System 3 Chair: Bernardo Magnini	Session 7E: Multimodal Chair: Julia Hockenmaier	Session 7F: Discourse Chair: Anette Frank
Plenary, MCEC	Room 203/204, MCEC	Room 210/211, MCEC	Room 212/213, MCEC	Room 219, MCEC	Room 220, MCEC
10:30 Large-Scale QA-SRL Parsing 10:55 Syntax for Semantic Role Labeling, To Be, Or Not To Be 11:20 Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation 11:45 Marrying Up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding	10:30 Token-level and sequence-level loss smoothing for RNN language models 10:55 Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers 11:20 To Attend or not to Attend: A Case Study on Syntactic Structures for Semantic Relatedness 11:45 What you can cram into a single \$\&!#* vector: Probing sentence embeddings for linguistic properties	10:30 Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning 10:55 Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder 11:20 Zero-Shot Transfer Learning for Event Extraction 11:45 Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction	10:30 Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning 10:55 Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders 11:20 Personalizing Dialogue Agents: I have a dog, do you have pets too? 11:45 Efficient Large-Scale Neural Domain Classification with Personalized Attention	10:30 Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment 10:55 Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph 11:20 Efficient Low-rank Multimodal Fusion With Modality-Specific Factors 11:45 Whodunnit? Crime Drama as a Case for Natural Language Understanding	10:30 Discourse Coherence: Concurrent Explicit and Implicit Relations 10:55 A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text 11:20 Joint Reasoning for Temporal and Causal Relations 11:45 Modeling Naive Psychology of Characters in Simple Commonsense Stories
12:10–12:30 Short Break Level 2 Foyer and Melbourne Room, MCEC
12:30–14:00 Poster Session 3
Poster Session 3A: Student Research Workshop Biomedical Document Retrieval for Clinical Decision Support System A Computational Approach to Feature Extraction for Identification of Suicidal Ideation in Tweets BCSAT : A Benchmark Corpus for Sentiment Analysis in Telugu Using Word-level Annotations Reinforced Extractive Summarization with Question-Focused Rewards Graph-based Filtering of Out-of-Vocabulary Words for Encoder-Decoder Models Exploring Chunk Based Templates for Generating a subset of English Text Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions Alignment Analysis of Sequential Segmentation of Lexicons to Improve Automatic Cognate Detection Mixed Feelings: Natural Text Generation with Variable, Coexistent Affective Categories Automatic Spelling Correction for Resource-Scarce Languages using Deep Learning Automatic Question Generation using Relative Pronouns and Adverbs Poster Session 3B: Document Analysis A Deep Relevance Model for Zero-Shot Document Filtering Disconnected Recurrent Neural Networks for Text Categorization Joint Embedding of Words and Labels for Text Classification Neural Sparse Topical Coding Document Similarity for Texts of Varying Lengths via Hidden Topics Eyes are the Windows to the Soul: Predicting the Rating of Text Quality Using Gaze Behaviour Multi-Input Attention for Unsupervised OCR Correction Building Language Models for Text with Named Entities hyperdoc2vec: Distributed Representations of Hypertext Documents Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval Automatic Academic Paper Rating Based on Modularized Hierarchical Convolutional Neural Network Automated essay scoring with string kernels and word embeddings Party Matters: Enhancing Legislative Embeddings with Author Attributes for Vote Prediction Dynamic and Static Topic Model for Analyzing Time-Series Document Collections PhraseCTM: Correlated Topic Modeling on Phrases within Markov Random Fields A Document Descriptor using Covariance of Word Vectors Poster Session 3C: Semantics Neural Natural Language Inference Models Enhanced with External Knowledge AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples Learning with Structured Representations for Negation Scope Extraction End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions Sense-Aware Neural Models for Pun Location in Texts Subword-level Word Vector Representations for Korean Incorporating Chinese Characters of Words for Lexical Sememe Prediction SemAxis: A Lightweight Framework to Characterize Domain-Specific Word Semantics Beyond Sentiment End-to-End Reinforcement Learning for Automatic Taxonomy Induction Incorporating Glosses into Neural Word Sense Disambiguation A Rank-Based Similarity Metric for Word Embeddings Addressing Noise in Multidialectal Word Embeddings GNEG: Graph-Based Negative Sampling for word2vec Unsupervised Learning of Style-sensitive Word Vectors Poster Session 3D: Sentiment Analysis and Argument Mining Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages Learning Domain-Sensitive and Sentiment-Aware Word Embeddings Cross-Domain Sentiment Classification with Target Domain Specific Information Aspect Based Sentiment Analysis with Gated Convolutional Networks A Helping Hand: Transfer Learning for Deep Sentiment Analysis Cold-Start Aware User and Product Attention for Sentiment Classification Modeling Deliberative Argumentation Strategies on Wikipedia Bootstrap Domain-Specific Sentiment Classifiers from Unlabelled Corpora Exploiting Document Knowledge for Aspect-level Sentiment Classification Modeling Sentiment Association in Discourse for Humor Recognition Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining Poster Session 3E: Vision, Multimodal, Grounding, Speech Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning Learning Translations via Images with a Massively Multilingual Image Dataset On the Automatic Generation of Medical Imaging Reports Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning Think Visually: Question Answering through Virtual Imagery Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game A Purely End-to-End System for Multi-speaker Speech Recognition Learning Representations Specialized in Spatial Knowledge: Leveraging Language and Vision Investigating Audio, Video, and Text Fusion Methods for End-to-End Automatic Personality Prediction Poster Session 3F: Morphology, Tagging, Parsing A Structured Variational Autoencoder for Contextual Morphological Inflection Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings Neural Factor Graph Models for Cross-lingual Morphological Tagging Global Transition-based Non-projective Dependency Parsing Constituency Parsing with a Self-Attentive Encoder Pre- and In-Parsing Models for Neural Empty Category Detection Composing Finite State Transducers on GPUs Supervised Treebank Conversion: Data and Approaches Object-oriented Neural Programming (OONP) for Document Understanding An Empirical Study of Building a Strong Baseline for Constituency Parsing Parser Training with Heterogeneous Treebanks Generalized chart constraints for efficient PCFG and TAG parsing Poster Session 3G: System Demonstrations The SUMMA Platform: A Scalable Infrastructure for Multi-lingual Multi-media Monitoring CRUISE: Cold-Start New Skill Development via Iterative Utterance Generation Praaline: An Open-Source System for Managing, Annotating, Visualising and Analysing Speech Corpora Marian: Fast Neural Machine Translation in C++ DeepPavlov: Open-Source Library for Dialogue Systems RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition A Flexible, Efficient and Accurate Framework for Community Question Answering Pipelines Moon IME: Neural-based Chinese Pinyin Aided Input Method with Customizable Association
14:00–15:00 Oral Presentations 8Short Papers
Session 8A: Semantics 2 Chair: Omri Abend	Session 8B: Machine Translation, Multilinguality 2 Chair: Yulia Tsvetkov	Session 8C: Information Extraction 2 Chair: Radu Florian	Session 8D: Generation, Summarization Chair: Hiroya Takamura	Session 8E: Machine Learning, Question Answering Chair: Massimo Piccardi	Session 8F: Sentiment Chair: Ion Androutsopoulos
Plenary, MCEC	Room 203/204, MCEC	Room 210/211, MCEC	Room 212/213, MCEC	Room 219, MCEC	Room 220, MCEC
14:00 Exploring Semantic Properties of Sentence Embeddings 14:15 Scoring Lexical Entailment with a Supervised Directional Similarity Network 14:30 Extracting Commonsense Properties from Embeddings with Limited Human Guidance 14:45 Breaking NLI Systems with Sentences that Require Simple Lexical Inferences	14:00 Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation 14:15 Automatic Estimation of Simultaneous Interpreter Performance 14:30 Polyglot Semantic Role Labeling 14:45 Learning Cross-lingual Distributed Logical Representations for Semantic Parsing	14:00 Enhancing Drug-Drug Interaction Extraction from Texts by Molecular Structure Information 14:15 diaNED: Time-Aware Named Entity Disambiguation for Diachronic Corpora 14:30 Examining Temporality in Document Classification 14:45 Personalized Language Model for Query Auto-Completion	14:00 Personalized Review Generation By Expanding Phrases and Attending on Aspect-Aware Representations 14:15 Learning Simplifications for Specific Target Audiences 14:30 Split and Rephrase: Better Evaluation and Stronger Baselines 14:45 Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization	14:00 Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum 14:15 On the Practical Computational Power of Finite Precision RNNs for Language Recognition 14:30 A Co-Matching Model for Multi-choice Reading Comprehension 14:45 Tackling the Story Ending Biases in The Story Cloze Test	14:00 A Multi-sentiment-resource Enhanced Attention Network for Sentiment Classification 14:15 Pretraining Sentiment Classifiers with Unlabeled Dialog Data 14:30 Disambiguating False-Alarm Hashtag Usages in Tweets for Irony Detection 14:45 Cross-Target Stance Classification with Self-Attention Networks
15:00–15:30 Coffee Break Level 2 Foyer and Melbourne Room, MCEC
15:30–17:15 Oral Presentations 9Long Papers and TACL Papers
Session 9A: Best Paper Session Chair: Iryna Gurevych and Yusuke Miyao
Plenary, MCEC
15:30 Know What You Don’t Know: Unanswerable Questions for SQuAD 15:45 'Lighter' Can Still Be Dark: Modeling Comparative Color Descriptions 16:00 Finding syntax in human encephalography with beam search 16:25 Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information 16:50 Let's do it ``again'': A First Computational Approach to Detecting Adverbial Presupposition Triggers
17:15–17:30 Short Break Level 2 Foyer and Melbourne Room, MCEC
17:30–18:30 Lifetime Achievement Award Plenary, MCEC
18:30–18:45 Closing Session Plenary, MCEC

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