Overview

July 15th, 2018 Tutorials
July 16th–18th, 2018 Main Conference
July 19th–20th, 2018 Workshops

Main Conference

Hover over each entry to find out author and abstract information. You can use the search box to filter by author. 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

Day 1: July 16

09:00–10:00
Welcome Session & Presidential Address
10:00–10:30
Coffee Break
10:30–12:10
Oral Presentations 1Long Papers and TACL Papers
Session 1A: Word Semantics 1
Session 1B: Machine Translation 1
Session 1C: Information Extraction 1
Session 1D: Summarization
Session 1E: Resource, Annotation
Session 1F: Argument Mining
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
12:30–14:00
Poster Session
Poster Session 1A: Machine Learning
Poster Session 1B: Semantics
Poster Session 1C: Information Extraction, Text Mining
Poster Session 1D: Discourse, Linguistics, Cognitive Modeling
Poster Session 1E: Resources and Evaluation
Poster Session 1F: Summarization, Social Media
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
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
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
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
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
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
Computational Modeling of Review Helpfulness
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
14:00–15:40
Oral Presentations 2Long Papers and TACL Papers
Session 2A: Semantic Parsing 1
Session 2B: Multilinguality
Session 2C: Question Answering 1
Session 2D: Generation 1
Session 2E: Vision
Session 2F: Sentiment
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
16:10–17:50
Oral Presentations 3Long Papers and TACL Papers
Session 3A: Inference, Reasoning
Session 3B: Machine Learning 1
Session 3C: Text Mining and Applications
Session 3D: Dialog System 1
Session 3E: Linguistics, Psycholinguistics and Cognitive Modeling
Session 3F: Parsing 1
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

Day 2: July 17

09:00–10:00
Invited Talk 1: Carolyn Penstein Rosé
10:00–10:30
Coffee Break
10:30–12:10
Oral Presentations 4Long Papers and TACL Papers
Session 4A: Word Semantics 2
Session 4B: Machine Translation 2
Session 4C: Information Extraction 2
Session 4D: Dialog System 2
Session 4E: Evaluation
Session 4F: Parsing 2
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
12:30–14:00
Poster Session
Poster Session 2A: Student Research Workshop
Poster Session 2B: Dialog and Interactive Systems, Multilinguality
Poster Session 2C: Information Extraction, Text Mining
Poster Session 2D: Generation
Poster Session 2E: Question Answering
Poster Session 2F: Machine Translation
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
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
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
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
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
14:00–15:00
Oral Presentations 5Short Papers
Session 5A: Semantics 1
Session 5B: Machine Translation, Multilinguality 1
Session 5C: Information Extraction 1
Session 5D: Dialog System, Discourse
Session 5E: Vision, Linguistics, Resource and Evaluation
Session 5F: Parsing, Morphology
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
15:30–17:10
Oral Presentations 6Long Papers and TACL Papers
Session 6A: Semantic Parsing 2
Session 6B: Machine Learning 2
Session 6C: Question Answering 2
Session 6D: Generation 2
Session 6E: Social Media
Session 6F: Information Retrieval
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
17:20–18:50
ACL Business Meeting
19:30–22:30
Social Event

Day 3: July 18

09:00–10:00
Invited Talk 2: Anton van den Hengel
10:00–10:30
Coffee Break
10:30–12:10
Oral Presentations 7Long Papers and TACL Papers
Session 7A: Semantic Parsing 3
Session 7B: Language/Document Model
Session 7C: Information Extraction 3
Session 7D: Dialog System 3
Session 7E: Multimodal
Session 7F: Discourse
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
12:30–14:00
Poster Session
Poster Session 3A: Student Research Workshop
Poster Session 3B: Document Analysis
Poster Session 3C: Semantics
Poster Session 3D: Sentiment Analysis and Argument Mining
Poster Session 3E: Vision, Multimodal, Grounding, Speech
Poster Session 3F: Morphology, Tagging, Parsing
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
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
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
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
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
14:00–15:00
Oral Presentations 8Short Papers
Session 8A: Semantics 2
Session 8B: Machine Translation, Multilinguality 2
Session 8C: Information Extraction 2
Session 8D: Generation, Summarization
Session 8E: Machine Learning, Question Answering
Session 8F: Sentiment
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
15:30–17:15
Oral Presentations 9Long Papers and TACL Papers
Session 9A: Best Paper Session
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
17:30–18:30
Lifetime Achievement Award
18:30–18:45
Closing Session