emnlp 2016 论文列表Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016, Austin, Texas, USA, November 1-4, 2016. |
SQuAD: 100, 000+ Questions for Machine Comprehension of Text.
Learning a Lexicon and Translation Model from Phoneme Lattices.
Global Neural CCG Parsing with Optimality Guarantees.
Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning.
Encoding Temporal Information for Time-Aware Link Prediction.
Unsupervised Timeline Generation for Wikipedia History Articles.
Human-in-the-Loop Parsing.
Parsing as Language Modeling.
Morphological Segmentation Inside-Out.
Word Ordering Without Syntax.
Transition-Based Dependency Parsing with Heuristic Backtracking.
Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition.
Creating a Large Benchmark for Open Information Extraction.
Measuring the behavioral impact of machine translation quality improvements with A/B testing.
Learning principled bilingual mappings of word embeddings while preserving monolingual invariance.
Supervised Attentions for Neural Machine Translation.
Why Neural Translations are the Right Length.
Insertion Position Selection Model for Flexible Non-Terminals in Dependency Tree-to-Tree Machine Translation.
A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification.
Deep Reinforcement Learning for Mention-Ranking Coreference Models.
A Decomposable Attention Model for Natural Language Inference.
Learning to Generate Compositional Color Descriptions.
Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser.
Who did What: A Large-Scale Person-Centered Cloze Dataset.
Tense Manages to Predict Implicative Behavior in Verbs.
Anchoring and Agreement in Syntactic Annotations.
Bi-directional Attention with Agreement for Dependency Parsing.
Exploiting Sentence Similarities for Better Alignments.
POLY: Mining Relational Paraphrases from Multilingual Sentences.
SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity.
Relations such as Hypernymy: Identifying and Exploiting Hearst Patterns in Distributional Vectors for Lexical Entailment.
Conditional Generation and Snapshot Learning in Neural Dialogue Systems.
Tsung-Hsien Wen Milica Gasic Nikola Mrksic Lina Maria Rojas-Barahona Pei-Hao Su Stefan Ultes David Vandyke Steve J. Young
Nonparametric Bayesian Models for Spoken Language Understanding.
Addressee and Response Selection for Multi-Party Conversation.
How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation.
Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change.
There's No Comparison: Reference-less Evaluation Metrics in Grammatical Error Correction.
Learning to refine text based recommendations.
The Effects of the Content of FOMC Communications on US Treasury Rates.
Learning to Capitalize with Character-Level Recurrent Neural Networks: An Empirical Study.
AMR-to-text generation as a Traveling Salesman Problem.
Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling.
Natural Language Model Re-usability for Scaling to Different Domains.
An Embedding Model for Predicting Roll-Call Votes.
Learning to Identify Metaphors from a Corpus of Proverbs.
Using Syntactic and Semantic Context to Explore Psychodemographic Differences in Self-reference.
Beyond Canonical Texts: A Computational Analysis of Fanfiction.
Does 'well-being' translate on Twitter?
Laura Smith Salvatore Giorgi Rishi Solanki Johannes C. Eichstaedt H. Andrew Schwartz Muhammad Abdul-Mageed Anneke Buffone Lyle H. Ungar
Interpreting Neural Networks to Improve Politeness Comprehension.
Vector-space models for PPDB paraphrase ranking in context.
Evaluating Induced CCG Parsers on Grounded Semantic Parsing.
BrainBench: A Brain-Image Test Suite for Distributional Semantic Models.
Capturing Argument Relationship for Chinese Semantic Role Labeling.
Training with Exploration Improves a Greedy Stack LSTM Parser.
Unsupervised Word Alignment by Agreement Under ITG Constraint.
Gated Word-Character Recurrent Language Model.
Modified Dirichlet Distribution: Allowing Negative Parameters to Induce Stronger Sparsity.
Learning Robust Representations of Text.
Speed-Accuracy Tradeoffs in Tagging with Variable-Order CRFs and Structured Sparsity.
Representing Verbs with Rich Contexts: an Evaluation on Verb Similarity.
Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text.
Analyzing the Behavior of Visual Question Answering Models.
Character Sequence Models for Colorful Words.
Combining Supervised and Unsupervised Enembles for Knowledge Base Population.
Timeline extraction using distant supervision and joint inference.
Learning to Answer Questions from Wikipedia Infoboxes.
Supervised Keyphrase Extraction as Positive Unlabeled Learning.
Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge.
Orthographic Syllable as basic unit for SMT between Related Languages.
Adapting Grammatical Error Correction Based on the Native Language of Writers with Neural Network Joint Models.
Non-uniform Language Detection in Technical Writing.
A Neural Approach to Automated Essay Scoring.
Predicting the Relative Difficulty of Single Sentences With and Without Surrounding Context.
A Graph Degeneracy-based Approach to Keyword Extraction.
Non-Literal Text Reuse in Historical Texts: An Approach to Identify Reuse Transformations and its Application to Bible Reuse.
Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads.
Regularizing Text Categorization with Clusters of Words.
Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data.
On- and Off-Topic Classification and Semantic Annotation of User-Generated Software Requirements.
Unsupervised Text Recap Extraction for TV Series.
Syntactic Parsing of Web Queries.
Neural Shift-Reduce CCG Semantic Parsing.
An Evaluation of Parser Robustness for Ungrammatical Sentences.
LSTM Shift-Reduce CCG Parsing.
Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser.
Verb Phrase Ellipsis Resolution Using Discriminative and Margin-Infused Algorithms.
Friends with Motives: Using Text to Infer Influence on SCOTUS.
Universal Decompositional Semantics on Universal Dependencies.
Aaron Steven White Dee Ann Reisinger Keisuke Sakaguchi Tim Vieira Sheng Zhang Rachel Rudinger Kyle Rawlins Benjamin Van Durme
Modelling Interaction of Sentence Pair with Coupled-LSTMs.
Improving Sparse Word Representations with Distributional Inference for Semantic Composition.
De-Conflated Semantic Representations.
Deep Neural Networks with Massive Learned Knowledge.
Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification.
Neural Sentiment Classification with User and Product Attention.
Event-Driven Emotion Cause Extraction with Corpus Construction.
Context-Sensitive Lexicon Features for Neural Sentiment Analysis.
A Theme-Rewriting Approach for Generating Algebra Word Problems.
Learning to Generate Textual Data.
Character-Level Question Answering with Attention.
It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering.
MixKMeans: Clustering Question-Answer Archives.
Transfer Learning for Low-Resource Neural Machine Translation.
Incorporating Discrete Translation Lexicons into Neural Machine Translation.
Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction.
Exploiting Source-side Monolingual Data in Neural Machine Translation.
Does String-Based Neural MT Learn Source Syntax?
Length bias in Encoder Decoder Models and a Case for Global Conditioning.
Charagram: Embedding Words and Sentences via Character n-grams.
Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes.
Gordon A. Christie Ankit Laddha Aishwarya Agrawal Stanislaw Antol Yash Goyal Kevin Kochersberger Dhruv Batra
Jointly Learning Grounded Task Structures from Language Instruction and Visual Demonstration.
Long-Short Range Context Neural Networks for Language Modeling.
Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings.
Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities.
Cross Sentence Inference for Process Knowledge.
Personalized Emphasis Framing for Persuasive Message Generation.
The Teams Corpus and Entrainment in Multi-Party Spoken Dialogues.
Analyzing Framing through the Casts of Characters in the News.
Key-Value Memory Networks for Directly Reading Documents.
Lifted Rule Injection for Relation Embeddings.
Mining Inference Formulas by Goal-Directed Random Walks.
AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding.
Improving Users' Demographic Prediction via the Videos They Talk about.
All Fingers are not Equal: Intensity of References in Scientific Articles.
Poet Admits // Mute Cypher: Beam Search to find Mutually Enciphering Poetic Texts.
Controlling Output Length in Neural Encoder-Decoders.
Sequence-Level Knowledge Distillation.
Online Segment to Segment Neural Transduction.
Sequence-to-Sequence Learning as Beam-Search Optimization.
Learning Crosslingual Word Embeddings without Bilingual Corpora.
Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping.
HUME: Human UCCA-Based Evaluation of Machine Translation.
An Unsupervised Probability Model for Speech-to-Translation Alignment of Low-Resource Languages.
Intra-Sentential Subject Zero Anaphora Resolution using Multi-Column Convolutional Neural Network.
Antecedent Selection for Sluicing: Structure and Content.
Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention.
What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentation.
Neural Text Generation from Structured Data with Application to the Biography Domain.
Deep Reinforcement Learning for Dialogue Generation.
Generating Topical Poetry.
Reasoning about Pragmatics with Neural Listeners and Speakers.
Generalizing and Hybridizing Count-based and Neural Language Models.
Convolutional Neural Network Language Models.
Detecting and Characterizing Events.
Understanding Language Preference for Expression of Opinion and Sentiment: What do Hindi-English Speakers do on Twitter?
Demographic Dialectal Variation in Social Media: A Case Study of African-American English.
Understanding Negation in Positive Terms Using Syntactic Dependencies.
Automatic Extraction of Implicit Interpretations from Modal Constructions.
Equation Parsing : Mapping Sentences to Grounded Equations.
Semantic Parsing with Semi-Supervised Sequential Autoencoders.
Automatic Features for Essay Scoring - An Empirical Study.
SimpleScience: Lexical Simplification of Scientific Terminology.
Robust Gram Embeddings.
Neural Headline Generation on Abstract Meaning Representation.
A Neural Network Architecture for Multilingual Punctuation Generation.
Real-Time Speech Emotion and Sentiment Recognition for Interactive Dialogue Systems.
Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts.
Characterizing the Language of Online Communities and its Relation to Community Reception.
Fluency detection on communication networks.
The Gun Violence Database: A new task and data set for NLP.
Weakly Supervised Tweet Stance Classification by Relational Bootstrapping.
Are Word Embedding-based Features Useful for Sarcasm Detection?
A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis.
Towards Semi-Automatic Generation of Proposition Banks for Low-Resource Languages.
Numerically Grounded Language Models for Semantic Error Correction.
Multi-Granularity Chinese Word Embedding.
The Effects of Data Size and Frequency Range on Distributional Semantic Models.
Exploiting Mutual Benefits between Syntax and Semantic Roles using Neural Network.
Neural Morphological Analysis: Encoding-Decoding Canonical Segments.
Coverage Embedding Models for Neural Machine Translation.
A General Regularization Framework for Domain Adaptation.
Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling.
Recurrent Residual Learning for Sequence Classification.
Human Attention in Visual Question Answering: Do Humans and Deep Networks look at the same regions?
Sort Story: Sorting Jumbled Images and Captions into Stories.
Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions.
Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition.
Extracting Subevents via an Effective Two-phase Approach.
Named Entity Recognition for Novel Types by Transfer Learning.
Porting an Open Information Extraction System from English to German.
Modeling Skip-Grams for Event Detection with Convolutional Neural Networks.
Stance Detection with Bidirectional Conditional Encoding.
Learning to Represent Review with Tensor Decomposition for Spam Detection.
Structured prediction models for RNN based sequence labeling in clinical text.
Solving and Generating Chinese Character Riddles.
Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter.
Analyzing Linguistic Knowledge in Sequential Model of Sentence.
Speculation and Negation Scope Detection via Convolutional Neural Networks.
Transferring User Interests Across Websites with Unstructured Text for Cold-Start Recommendation.
Rationale-Augmented Convolutional Neural Networks for Text Classification.
News Stream Summarization using Burst Information Networks.
Generating Coherent Summaries of Scientific Articles Using Coherence Patterns.
Unsupervised Neural Dependency Parsing.
Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning.
LAMB: A Good Shepherd of Morphologically Rich Languages.
Neural Network for Heterogeneous Annotations.
Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary.
Effective Greedy Inference for Graph-based Non-Projective Dependency Parsing.
Enhanced Personalized Search using Social Data.
Identifying Dogmatism in Social Media: Signals and Models.
AMR Parsing with an Incremental Joint Model.
Exploring Semantic Representation in Brain Activity Using Word Embeddings.
WordRank: Learning Word Embeddings via Robust Ranking.
Building an Evaluation Scale using Item Response Theory.
Emotion Distribution Learning from Texts.
Extracting Aspect Specific Opinion Expressions.
Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis.
Attention-based LSTM for Aspect-level Sentiment Classification.
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora.
A Semiparametric Model for Bayesian Reader Identification.
Learning to Translate for Multilingual Question Answering.
On Generating Characteristic-rich Question Sets for QA Evaluation.
Long Short-Term Memory-Networks for Machine Reading.
Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding.
Towards a Convex HMM Surrogate for Word Alignment.
Variational Neural Machine Translation.
IRT-based Aggregation Model of Crowdsourced Pairwise Comparison for Evaluating Machine Translations.
Automatic Cross-Lingual Similarization of Dependency Grammars for Tree-based Machine Translation.
Morphological Priors for Probabilistic Neural Word Embeddings.
How Transferable are Neural Networks in NLP Applications?
The Structured Weighted Violations Perceptron Algorithm.
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding.
Comparing Data Sources and Architectures for Deep Visual Representation Learning in Semantics.
Latent Tree Language Model.
Supervised Distributional Hypernym Discovery via Domain Adaptation.
Relation Schema Induction using Tensor Factorization with Side Information.
Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network.
Event Detection and Co-reference with Minimal Supervision.
Variational Neural Discourse Relation Recognizer.
Multi-view Response Selection for Human-Computer Conversation.
Discourse Parsing with Attention-based Hierarchical Neural Networks.
PaCCSS-IT: A Parallel Corpus of Complex-Simple Sentences for Automatic Text Simplification.
A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs.
Globally Coherent Text Generation with Neural Checklist Models.
Language as a Latent Variable: Discrete Generative Models for Sentence Compression.
TweeTime : A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter.
Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems.
Semi-Supervised Learning of Sequence Models with Method of Moments.
Memory-enhanced Decoder for Neural Machine Translation.
Zero-Resource Translation with Multi-Lingual Neural Machine Translation.
Neural versus Phrase-Based Machine Translation Quality: a Case Study.
Attention-based LSTM Network for Cross-Lingual Sentiment Classification.
Learning Sentence Embeddings with Auxiliary Tasks for Cross-Domain Sentiment Classification.
Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets.
Aspect Level Sentiment Classification with Deep Memory Network.
Learning Connective-based Word Representations for Implicit Discourse Relation Identification.
Jointly Embedding Knowledge Graphs and Logical Rules.
Context-Dependent Sense Embedding.
Event participant modelling with neural networks.
Semantic Parsing to Probabilistic Programs for Situated Question Answering.
Improving Semantic Parsing via Answer Type Inference.
Creating Causal Embeddings for Question Answering with Minimal Supervision.
Natural Language Comprehension with the EpiReader.
Deep Multi-Task Learning with Shared Memory for Text Classification.
Rationalizing Neural Predictions.
Comparing Computational Cognitive Models of Generalization in a Language Acquisition Task.
Modeling Human Reading with Neural Attention.
Learning to Recognize Discontiguous Entities.
A Position Encoding Convolutional Neural Network Based on Dependency Tree for Relation Classification.
Nested Propositions in Open Information Extraction.
Distinguishing Past, On-going, and Future Events: The EventStatus Corpus.
Using Left-corner Parsing to Encode Universal Structural Constraints in Grammar Induction.
A Neural Network for Coordination Boundary Prediction.
Rule Extraction for Tree-to-Tree Transducers by Cost Minimization.
Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles.