naacl 2016 论文列表
NAACL HLT 2016, The 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, San Diego California, USA, June 12-17, 2016.
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Learning to Compose Neural Networks for Question Answering.
Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships.
Improving sentence compression by learning to predict gaze.
MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification.
Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents.
Deep LSTM based Feature Mapping for Query Classification.
Dependency Based Embeddings for Sentence Classification Tasks.
Hierarchical Attention Networks for Document Classification.
Unsupervised Learning of Prototypical Fillers for Implicit Semantic Role Labeling.
Clustering Paraphrases by Word Sense.
Activity Modeling in Email.
Learning Natural Language Inference with LSTM.
Automatic Generation and Scoring of Positive Interpretations from Negated Statements.
Using Context to Predict the Purpose of Argumentative Writing Revisions.
Lexical Coherence Graph Modeling Using Word Embeddings.
A Study of the Impact of Persuasive Argumentation in Political Debates.
Cross-Domain Mining of Argumentative Text through Distant Supervision.
End-to-End Argumentation Mining in Student Essays.
Retrofitting Sense-Specific Word Vectors Using Parallel Text.
Learning Distributed Representations of Sentences from Unlabelled Data.
Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning.
Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders.
Shallow Parsing Pipeline - Hindi-English Code-Mixed Social Media Text.
Statistical Modeling of Creole Genesis.
Part-of-Speech Tagging for Historical English.
Ten Pairs to Tag - Multilingual POS Tagging via Coarse Mapping between Embeddings.
Multilingual Language Processing From Bytes.
This is how we do it: Answer Reranking for Open-domain How Questions with Paragraph Vectors and Minimal Feature Engineering.
Semi-supervised Question Retrieval with Gated Convolutions.
Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking.
$K$-Embeddings: Learning Conceptual Embeddings for Words using Context.
Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks.
Incorporating Side Information into Recurrent Neural Network Language Models.
PRIMT: A Pick-Revise Framework for Interactive Machine Translation.
Visual Storytelling.
Automatically Inferring Implicit Properties in Similes.
Simple, Fast Noise-Contrastive Estimation for Large RNN Vocabularies.
Consensus Maximization Fusion of Probabilistic Information Extractors.
Automatic Prediction of Linguistic Decline in Writings of Subjects with Degenerative Dementia.
Sparse Bilingual Word Representations for Cross-lingual Lexical Entailment.
The Instantiation Discourse Relation: A Corpus Analysis of Its Properties and Improved Detection.
Integrating Morphological Desegmentation into Phrase-based Decoding.
BIRA: Improved Predictive Exchange Word Clustering.
Emergent: a novel data-set for stance classification.
Cross-genre Event Extraction with Knowledge Enrichment.
MAWPS: A Math Word Problem Repository.
Right-truncatable Neural Word Embeddings.
Patterns of Wisdom: Discourse-Level Style in Multi-Sentence Quotations.
Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation.
Bootstrapping Translation Detection and Sentence Extraction from Comparable Corpora.
PIC a Different Word: A Simple Model for Lexical Substitution in Context.
Learning a POS tagger for AAVE-like language.
Learning to Recognize Ancillary Information for Automatic Paraphrase Identification.
Sentiment Composition of Words with Opposing Polarities.
Deep Lexical Segmentation and Syntactic Parsing in the Easy-First Dependency Framework.
Making Dependency Labeling Simple, Fast and Accurate.
Eyes Don't Lie: Predicting Machine Translation Quality Using Eye Movement.
Interlocking Phrases in Phrase-based Statistical Machine Translation.
Fast and Easy Short Answer Grading with High Accuracy.
Geolocation for Twitter: Timing Matters.
Frustratingly Easy Cross-Lingual Transfer for Transition-Based Dependency Parsing.
Assessing Relative Sentence Complexity using an Incremental CCG Parser.
Improve Chinese Word Embeddings by Exploiting Internal Structure.
The Role of Context Types and Dimensionality in Learning Word Embeddings.
Embedding Lexical Features via Low-Rank Tensors.
Unsupervised Ranking Model for Entity Coreference Resolution.
Search Space Pruning: A Simple Solution for Better Coreference Resolvers.
Learning Global Features for Coreference Resolution.
A Novel Approach to Dropped Pronoun Translation.
LSTM Neural Reordering Feature for Statistical Machine Translation.
Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation.
Information Density and Quality Estimation Features as Translationese Indicators for Human Translation Classification.
An Attentional Model for Speech Translation Without Transcription.
Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement.
Bayesian Supervised Domain Adaptation for Short Text Similarity.
DAG-Structured Long Short-Term Memory for Semantic Compositionality.
A Translation-Based Knowledge Graph Embedding Preserving Logical Property of Relations.
Effective Crowd Annotation for Relation Extraction.
Multilingual Relation Extraction using Compositional Universal Schema.
Incorporating Structural Alignment Biases into an Attentional Neural Translation Model.
Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism.
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization.
Dynamic Entity Representation with Max-pooling Improves Machine Reading.
A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories.
Comparing Convolutional Neural Networks to Traditional Models for Slot Filling.
Mapping Verbs in Different Languages to Knowledge Base Relations using Web Text as Interlingua.
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling.
Opinion Holder and Target Extraction on Opinion Compounds - A Linguistic Approach.
Clustering for Simultaneous Extraction of Aspects and Features from Reviews.
Separating Actor-View from Speaker-View Opinion Expressions using Linguistic Features.
Ultradense Word Embeddings by Orthogonal Transformation.
Inter-document Contextual Language model.
Natural Language Communication with Robots.
A Corpus and Semantic Parser for Multilingual Natural Language Querying of OpenStreetMap.
Generation from Abstract Meaning Representation using Tree Transducers.
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment.
Weak Semi-Markov CRFs for Noun Phrase Chunking in Informal Text.
Joint Learning with Global Inference for Comment Classification in Community Question Answering.
Bilingual Word Embeddings from Parallel and Non-parallel Corpora for Cross-Language Text Classification.
Visualizing and Understanding Neural Models in NLP.
Syntactic Parsing of Web Queries with Question Intent.
A Joint Model of Orthography and Morphological Segmentation.
Phonological Pun-derstanding.
Towards Unsupervised and Language-independent Compound Splitting using Inflectional Morphological Transformations.
Morphological Inflection Generation Using Character Sequence to Sequence Learning.
Weighting Finite-State Transductions With Neural Context.
Unsupervised Compound Splitting With Distributional Semantics Rivals Supervised Methods.
Probabilistic Models for Learning a Semantic Parser Lexicon.
Deconstructing Complex Search Tasks: a Bayesian Nonparametric Approach for Extracting Sub-tasks.
Cross-lingual Wikification Using Multilingual Embeddings.
Vision and Feature Norms: Improving automatic feature norm learning through cross-modal maps.
Conversational Markers of Constructive Discussions.
Large-scale Multitask Learning for Machine Translation Quality Estimation.
Structured Prediction with Output Embeddings for Semantic Image Annotation.
Improving event prediction by representing script participants.
Building Chinese Affective Resources in Valence-Arousal Dimensions.
Combining Recurrent and Convolutional Neural Networks for Relation Classification.
Learning Distributed Word Representations For Bidirectional LSTM Recurrent Neural Network.
Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence.
Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks.
Breaking the Closed World Assumption in Text Classification.
Symmetric Patterns and Coordinations: Fast and Enhanced Representations of Verbs and Adjectives.
A Recurrent Neural Networks Approach for Estimating the Quality of Machine Translation Output.
Transition-Based Syntactic Linearization with Lookahead Features.
The Sensitivity of Topic Coherence Evaluation to Topic Cardinality.
Bidirectional RNN for Medical Event Detection in Electronic Health Records.
An Unsupervised Model of Orthographic Variation for Historical Document Transcription.
STransE: a novel embedding model of entities and relationships in knowledge bases.
Online Multilingual Topic Models with Multi-Level Hyperpriors.
Shift-Reduce CCG Parsing using Neural Network Models.
Intra-Topic Variability Normalization based on Linear Projection for Topic Classification.
Inferring Psycholinguistic Properties of Words.
Joint Learning Templates and Slots for Event Schema Induction.
Individual Variation in the Choice of Referential Form.
Psycholinguistic Features for Deceptive Role Detection in Werewolf.
Agreement on Target-bidirectional Neural Machine Translation.
Expectation-Regulated Neural Model for Event Mention Extraction.
Recurrent Support Vector Machines For Slot Tagging In Spoken Language Understanding.
Multimodal Semantic Learning from Child-Directed Input.
Grammatical error correction using neural machine translation.
Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks.
Phrasal Substitution of Idiomatic Expressions.
Distinguishing Literal and Non-Literal Usage of German Particle Verbs.
Questioning Arbitrariness in Language: a Data-Driven Study of Conventional Iconicity.
A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models.
Recurrent Memory Networks for Language Modeling.
Top-down Tree Long Short-Term Memory Networks.
Joint Event Extraction via Recurrent Neural Networks.
Joint Extraction of Events and Entities within a Document Context.
Drop-out Conditional Random Fields for Twitter with Huge Mined Gazetteer.
Dynamic Feature Induction: The Last Gist to the State-of-the-Art.
Neural Architectures for Named Entity Recognition.
Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning.
An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition.
Supertagging With LSTMs.
LSTM CCG Parsing.
Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks.
Recurrent Neural Network Grammars.
Stating the Obvious: Extracting Visual Common Sense Knowledge.
Unsupervised Visual Sense Disambiguation for Verbs using Multimodal Embeddings.
Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning.
Black Holes and White Rabbits: Metaphor Identification with Visual Features.
Grounded Semantic Role Labeling.
Counter-fitting Word Vectors to Linguistic Constraints.
Conversational Flow in Oxford-style Debates.
A Long Short-Term Memory Framework for Predicting Humor in Dialogues.
Multi-domain Neural Network Language Generation for Spoken Dialogue Systems.
A Diversity-Promoting Objective Function for Neural Conversation Models.
Integer Linear Programming for Discourse Parsing.
Abstractive Sentence Summarization with Attentive Recurrent Neural Networks.
Knowledge-Guided Linguistic Rewrites for Inference Rule Verification.
Automatic Summarization of Student Course Feedback.
Entity-balanced Gaussian pLSA for Automated Comparison.
A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization.
Neural Network-Based Abstract Generation for Opinions and Arguments.
An Empirical Evaluation of Noise Contrastive Estimation for the Neural Network Joint Model of Translation.
Controlling Politeness in Neural Machine Translation via Side Constraints.
Multi-Source Neural Translation.
Selecting Syntactic, Non-redundant Segments in Active Learning for Machine Translation.
Flexible Non-Terminals for Dependency Tree-to-Tree Reordering.
Achieving Accurate Conclusions in Evaluation of Automatic Machine Translation Metrics.
