acl 2016 论文列表
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 1: Long Papers.
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Globally Normalized Transition-Based Neural Networks.
On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems.
Case and Cause in Icelandic: Reconstructing Causal Networks of Cascaded Language Changes.
Harnessing Deep Neural Networks with Logic Rules.
Multimodal Pivots for Image Caption Translation.
Improving Hypernymy Detection with an Integrated Path-based and Distributional Method.
Finding Non-Arbitrary Form-Meaning Systematicity Using String-Metric Learning for Kernel Regression.
Learning Language Games through Interaction.
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task.
Chinese Couplet Generation with Neural Network Structures.
Vector-space topic models for detecting Alzheimer's disease.
Question Answering on Freebase via Relation Extraction and Textual Evidence.
TransG : A Generative Model for Knowledge Graph Embedding.
Graph-based Dependency Parsing with Bidirectional LSTM.
Automatic Labeling of Topic Models Using Text Summaries.
The More Antecedents, the Merrier: Resolving Multi-Antecedent Anaphors.
Composing Distributed Representations of Relational Patterns.
On Approximately Searching for Similar Word Embeddings.
One for All: Towards Language Independent Named Entity Linking.
Knowledge-Based Semantic Embedding for Machine Translation.
A Corpus-Based Analysis of Canonical Word Order of Japanese Double Object Constructions.
Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning.
Recurrent neural network models for disease name recognition using domain invariant features.
Grammatical Error Correction: Machine Translation and Classifiers.
Temporal Anchoring of Events for the TimeBank Corpus.
A New Psychometric-inspired Evaluation Metric for Chinese Word Segmentation.
Modeling Stance in Student Essays.
Most "babies" are "little" and most "problems" are "huge": Compositional Entailment in Adjective-Nouns.
Unravelling Names of Fictional Characters.
Learning To Use Formulas To Solve Simple Arithmetic Problems.
Leveraging FrameNet to Improve Automatic Event Detection.
Neural Relation Extraction with Selective Attention over Instances.
Topic Extraction from Microblog Posts Using Conversation Structures.
Edge-Linear First-Order Dependency Parsing with Undirected Minimum Spanning Tree Inference.
Evaluating Sentiment Analysis in the Context of Securities Trading.
Continuous Profile Models in ASL Syntactic Facial Expression Synthesis.
Summarizing Source Code using a Neural Attention Model.
Hidden Softmax Sequence Model for Dialogue Structure Analysis.
A Vector Space for Distributional Semantics for Entailment.
Efficient techniques for parsing with tree automata.
Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization.
Jointly Learning to Embed and Predict with Multiple Languages.
Set-Theoretic Alignment for Comparable Corpora.
Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints.
Predicting the Compositionality of Nominal Compounds: Giving Word Embeddings a Hard Time.
Strategies for Training Large Vocabulary Neural Language Models.
Semi-Supervised Learning for Neural Machine Translation.
Cross-Lingual Morphological Tagging for Low-Resource Languages.
N-gram language models for massively parallel devices.
MUTT: Metric Unit TesTing for Language Generation Tasks.
How to Train Dependency Parsers with Inexact Search for Joint Sentence Boundary Detection and Parsing of Entire Documents.
Mining Paraphrasal Typed Templates from a Plain Text Corpus.
Alleviating Poor Context with Background Knowledge for Named Entity Disambiguation.
Linguistic Benchmarks of Online News Article Quality.
Learning Text Pair Similarity with Context-sensitive Autoencoders.
On the Similarities Between Native, Non-native and Translated Texts.
User Modeling in Language Learning with Macaronic Texts.
A Trainable Spaced Repetition Model for Language Learning.
Phrase Structure Annotation and Parsing for Learner English.
Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization.
Physical Causality of Action Verbs in Grounded Language Understanding.
Generating Natural Questions About an Image.
Learning Concept Taxonomies from Multi-modal Data.
Cross-Lingual Image Caption Generation.
Learning Prototypical Event Structure from Photo Albums.
Situation entity types: automatic classification of clause-level aspect.
Speech Act Modeling of Written Asynchronous Conversations with Task-Specific Embeddings and Conditional Structured Models.
Model Architectures for Quotation Detection.
Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network.
Neural Machine Translation of Rare Words with Subword Units.
Target-Side Context for Discriminative Models in Statistical Machine Translation.
A Character-level Decoder without Explicit Segmentation for Neural Machine Translation.
Minimum Risk Training for Neural Machine Translation.
Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning.
Cross-lingual Models of Word Embeddings: An Empirical Comparison.
Morphological Smoothing and Extrapolation of Word Embeddings.
Cross-domain Text Classification with Multiple Domains and Disparate Label Sets.
Incorporating Copying Mechanism in Sequence-to-Sequence Learning.
Deep Reinforcement Learning with a Natural Language Action Space.
Learning Structured Predictors from Bandit Feedback for Interactive NLP.
Discovery of Treatments from Text Corpora.
Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM.
Prototype Synthesis for Model Laws.
Inferring Perceived Demographics from User Emotional Tone and User-Environment Emotional Contrast.
Stack-propagation: Improved Representation Learning for Syntax.
Optimizing Spectral Learning for Parsing.
WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia.
The LAMBADA dataset: Word prediction requiring a broad discourse context.
LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning.
Beyond Plain Spatial Knowledge: Determining Where Entities Are and Are Not Located, and For How Long.
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change.
Investigating Language Universal and Specific Properties in Word Embeddings.
A Fast Unified Model for Parsing and Sentence Understanding.
Simpler Context-Dependent Logical Forms via Model Projections.
Commonsense Knowledge Base Completion.
Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text.
Identifying Causal Relations Using Parallel Wikipedia Articles.
Segment-Level Sequence Modeling using Gated Recursive Semi-Markov Conditional Random Fields.
Cross-Lingual Sentiment Classification with Bilingual Document Representation Learning.
A Search-Based Dynamic Reranking Model for Dependency Parsing.
Probabilistic Graph-based Dependency Parsing with Convolutional Neural Network.
A Continuous Space Rule Selection Model for Syntax-based Statistical Machine Translation.
Towards Constructing Sports News from Live Text Commentary.
Learning Word Meta-Embeddings.
Sequence-based Structured Prediction for Semantic Parsing.
The Creation and Analysis of a Website Privacy Policy Corpus.
Larger-Context Language Modelling with Recurrent Neural Network.
Knowledge Base Completion via Coupled Path Ranking.
Relation Classification via Multi-Level Attention CNNs.
Inner Attention based Recurrent Neural Networks for Answer Selection.
Learning Semantically and Additively Compositional Distributional Representations.
Bilingual Segmented Topic Model.
Annotating and Predicting Non-Restrictive Noun Phrase Modifications.
Addressing Limited Data for Textual Entailment Across Domains.
Neural Network-Based Model for Japanese Predicate Argument Structure Analysis.
RBPB: Regularization-Based Pattern Balancing Method for Event Extraction.
Resolving References to Objects in Photographs using the Words-As-Classifiers Model.
Prediction of Prospective User Engagement with Intelligent Assistants.
Neural Semantic Role Labeling with Dependency Path Embeddings.
Compositional Sequence Labeling Models for Error Detection in Learner Writing.
Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing.
ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling.
Scaling a Natural Language Generation System.
Leveraging Inflection Tables for Stemming and Lemmatization.
Context-aware Argumentative Relation Mining.
A short proof that O_2 is an MCFL.
End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures.
Harnessing Cognitive Features for Sarcasm Detection.
Synthesizing Compound Words for Machine Translation.
Off-topic Response Detection for Spontaneous Spoken English Assessment.
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF.
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models.
Understanding Discourse on Work and Job-Related Well-Being in Public Social Media.
Deep Fusion LSTMs for Text Semantic Matching.
Agreement-based Learning of Parallel Lexicons and Phrases from Non-Parallel Corpora.
Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation.
Discriminative Deep Random Walk for Network Classification.
A Persona-Based Neural Conversation Model.
A CALL System for Learning Preposition Usage.
Cross-Lingual Lexico-Semantic Transfer in Language Learning.
Exploring Convolutional and Recurrent Neural Networks in Sequential Labelling for Dialogue Topic Tracking.
Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings.
Siamese CBOW: Optimizing Word Embeddings for Sentence Representations.
Transition-Based Left-Corner Parsing for Identifying PTB-Style Nonlocal Dependencies.
Investigating LSTMs for Joint Extraction of Opinion Entities and Relations.
Text Understanding with the Attention Sum Reader Network.
Embeddings for Word Sense Disambiguation: An Evaluation Study.
How well do Computers Solve Math Word Problems? Large-Scale Dataset Construction and Evaluation.
Normalized Log-Linear Interpolation of Backoff Language Models is Efficient.
Modeling Concept Dependencies in a Scientific Corpus.
Modeling Social Norms Evolution for Personalized Sentiment Classification.
Analyzing Biases in Human Perception of User Age and Gender from Text.
Coordination Annotation Extension in the Penn Tree Bank.
Tree-to-Sequence Attentional Neural Machine Translation.
Verbs Taking Clausal and Non-Finite Arguments as Signals of Modality - Revisiting the Issue of Meaning Grounded in Syntax.
CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases.
Constrained Multi-Task Learning for Automated Essay Scoring.
Chinese Zero Pronoun Resolution with Deep Neural Networks.
Sentence Rewriting for Semantic Parsing.
Bidirectional Recurrent Convolutional Neural Network for Relation Classification.
Extracting token-level signals of syntactic processing from fMRI - with an application to PoS induction.
Universal Dependencies for Learner English.
Improved Semantic Parsers For If-Then Statements.
Automatic Text Scoring Using Neural Networks.
Unsupervised Multi-Author Document Decomposition Based on Hidden Markov Model.
AraSenTi: Large-Scale Twitter-Specific Arabic Sentiment Lexicons.
A Discriminative Topic Model using Document Network Structure.
Detecting Common Discussion Topics Across Culture From News Reader Comments.
Generative Topic Embedding: a Continuous Representation of Documents.
Effects of Creativity and Cluster Tightness on Short Text Clustering Performance.
Improving Coreference Resolution by Learning Entity-Level Distributed Representations.
Which Coreference Evaluation Metric Do You Trust? A Proposal for a Link-based Entity Aware Metric.
Collective Entity Resolution with Multi-Focal Attention.
Easy Things First: Installments Improve Referring Expression Generation for Objects in Photographs.
Latent Predictor Networks for Code Generation.
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus.
How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions.
Towards more variation in text generation: Developing and evaluating variation models for choice of referential form.
A Sentence Interaction Network for Modeling Dependence between Sentences.
Finding the Middle Ground - A Model for Planning Satisficing Answers.
Entropy Converges Between Dialogue Participants: Explanations from an Information-Theoretic Perspective.
Investigating the Sources of Linguistic Alignment in Conversation.
DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents.
CSE: Conceptual Sentence Embeddings based on Attention Model.
Neural Networks For Negation Scope Detection.
Neural Summarization by Extracting Sentences and Words.
Tables as Semi-structured Knowledge for Question Answering.
Improved Representation Learning for Question Answer Matching.
Easy Questions First? A Case Study on Curriculum Learning for Question Answering.
Combining Natural Logic and Shallow Reasoning for Question Answering.
A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data.
Transition-Based Neural Word Segmentation.
Neural Word Segmentation Learning for Chinese.
Grapheme-to-Phoneme Models for (Almost) Any Language.
News Citation Recommendation with Implicit and Explicit Semantics.
Together we stand: Siamese Networks for Similar Question Retrieval.
Query Expansion with Locally-Trained Word Embeddings.
Dependency Parsing with Bounded Block Degree and Well-nestedness via Lagrangian Relaxation and Branch-and-Bound.
Active Learning for Dependency Parsing with Partial Annotation.
Document-level Sentiment Inference with Social, Faction, and Discourse Context.
Bi-Transferring Deep Neural Networks for Domain Adaptation.
Connotation Frames: A Data-Driven Investigation.
Sentiment Domain Adaptation with Multiple Sources.
Two Discourse Driven Language Models for Semantics.
Using Sentence-Level LSTM Language Models for Script Inference.
Jointly Event Extraction and Visualization on Twitter via Probabilistic Modelling.
Liberal Event Extraction and Event Schema Induction.
On the Role of Seed Lexicons in Learning Bilingual Word Embeddings.
Intrinsic Subspace Evaluation of Word Embedding Representations.
Compressing Neural Language Models by Sparse Word Representations.
Metaphor Detection with Topic Transition, Emotion and Cognition in Context.
Adaptive Joint Learning of Compositional and Non-Compositional Phrase Embeddings.
Idiom Token Classification using Sentential Distributed Semantics.
Literal and Metaphorical Senses in Compositional Distributional Semantic Models.
Neural Greedy Constituent Parsing with Dynamic Oracles.
A Transition-Based System for Joint Lexical and Syntactic Analysis.
Generalized Transition-based Dependency Parsing via Control Parameters.
Pointing the Unknown Words.
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning.
Language Transfer Learning for Supervised Lexical Substitution.
Incremental Acquisition of Verb Hypothesis Space towards Physical World Interaction.
Graph-Based Translation Via Graph Segmentation.
Improving Neural Machine Translation Models with Monolingual Data.
Modeling Coverage for Neural Machine Translation.
Models and Inference for Prefix-Constrained Machine Translation.
A Multi-media Approach to Cross-lingual Entity Knowledge Transfer.
Unsupervised Person Slot Filling based on Graph Mining.
Language to Logical Form with Neural Attention.
Inferring Logical Forms From Denotations.
Data Recombination for Neural Semantic Parsing.
Noise reduction and targeted exploration in imitation learning for Abstract Meaning Representation parsing.
