emnlp 2015 论文列表
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015, Lisbon, Portugal, September 17-21, 2015.
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Identification and Verification of Simple Claims about Statistical Properties.
Classifying Tweet Level Judgements of Rumours in Social Media.
Twitter-scale New Event Detection via K-term Hashing.
An Analysis of Domestic Abuse Discourse on Reddit.
#SupportTheCause: Identifying Motivations to Participate in Online Health Campaigns.
Detection of Steganographic Techniques on Twitter.
That's So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets.
Reinforcing the Topic of Embeddings with Theta Pure Dependence for Text Classification.
SLSA: A Sentiment Lexicon for Standard Arabic.
Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis.
A Multi-lingual Annotated Dataset for Aspect-Oriented Opinion Mining.
The Rating Game: Sentiment Rating Reproducibility from Text.
Adjective Intensity and Sentiment Analysis.
ASTD: Arabic Sentiment Tweets Dataset.
PhraseRNN: Phrase Recursive Neural Network for Aspect-based Sentiment Analysis.
JEAM: A Novel Model for Cross-Domain Sentiment Classification Based on Emotion Analysis.
A Tableau Prover for Natural Logic and Language.
Distributed Representations for Unsupervised Semantic Role Labeling.
Automatic recognition of habituals: a three-way classification of clausal aspect.
Multi- and Cross-Modal Semantics Beyond Vision: Grounding in Auditory Perception.
Navigating the Semantic Horizon using Relative Neighborhood Graphs.
Syntactic Dependencies and Distributed Word Representations for Analogy Detection and Mining.
A Single Word is not Enough: Ranking Multiword Expressions Using Distributional Semantics.
ERSOM: A Structural Ontology Matching Approach Using Automatically Learned Entity Representation.
Compact, Efficient and Unlimited Capacity: Language Modeling with Compressed Suffix Trees.
Bilingual Structured Language Models for Statistical Machine Translation.
A Dynamic Programming Algorithm for Computing N-gram Posteriors from Lattices.
Topic Identification and Discovery on Text and Speech.
Humor Recognition and Humor Anchor Extraction.
Co-Training for Topic Classification of Scholarly Data.
Social Media Text Classification under Negative Covariate Shift.
Verbal and Nonverbal Clues for Real-life Deception Detection.
Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents.
Discriminative Neural Sentence Modeling by Tree-Based Convolution.
When Are Tree Structures Necessary for Deep Learning of Representations?
Can Symbol Grounding Improve Low-Level NLP? Word Segmentation as a Case Study.
Morphological Analysis for Unsegmented Languages using Recurrent Neural Network Language Model.
Automatic Diacritics Restoration for Hungarian.
Arabic Diacritization with Recurrent Neural Networks.
Transducer Disambiguation with Sparse Topological Features.
Joint Lemmatization and Morphological Tagging with Lemming.
Adapting Coreference Resolution for Narrative Processing.
Discourse Element Identification in Student Essays based on Global and Local Cohesion.
Learning Word Meanings and Grammar for Describing Everyday Activities in Smart Environments.
Fatal or not? Finding errors that lead to dialogue breakdowns in chat-oriented dialogue systems.
On the Role of Discourse Markers for Discriminating Claims and Premises in Argumentative Discourse.
Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition.
Wikification of Concept Mentions within Spoken Dialogues Using Domain Constraints from Wikipedia.
Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations.
Better Document-level Sentiment Analysis from RST Discourse Parsing.
Comparing Word Representations for Implicit Discourse Relation Classification.
Estimation of Discourse Segmentation Labels from Crowd Data.
Intra-sentential Zero Anaphora Resolution using Subject Sharing Recognition.
Using Content-level Structures for Summarizing Microblog Repost Trees.
Towards the Extraction of Customer-to-Customer Suggestions from Reviews.
Modeling Reportable Events as Turning Points in Narrative.
Confounds and Consequences in Geotagged Twitter Data.
Exploiting Debate Portals for Semi-Supervised Argumentation Mining in User-Generated Web Discourse.
Improved Arabic Dialect Classification with Social Media Data.
Efficient Hyper-parameter Optimization for NLP Applications.
A Comparative Study on Regularization Strategies for Embedding-based Neural Networks.
Bayesian Optimization of Text Representations.
A Binarized Neural Network Joint Model for Machine Translation.
Variable-Length Word Encodings for Neural Translation Models.
A Joint Dependency Model of Morphological and Syntactic Structure for Statistical Machine Translation.
Joint Event Trigger Identification and Event Coreference Resolution with Structured Perceptron.
What's in an Embedding? Analyzing Word Embeddings through Multilingual Evaluation.
Any-language frame-semantic parsing.
Higher-order logical inference with compositional semantics.
Evaluation of Word Vector Representations by Subspace Alignment.
Specializing Word Embeddings for Similarity or Relatedness.
Knowledge Base Inference using Bridging Entities.
What Your Username Says About You.
Talking to the crowd: What do people react to in online discussions?
Personalized Machine Translation: Predicting Translational Preferences.
WikiQA: A Challenge Dataset for Open-Domain Question Answering.
Answering Elementary Science Questions by Constructing Coherent Scenes using Background Knowledge.
EMNLP versus ACL: Analyzing NLP research over time.
A quantitative analysis of gender differences in movies using psycholinguistic normatives.
Reversibility reconsidered: finite-state factors for efficient probabilistic sampling in parsing and generation.
Summarization Based on Embedding Distributions.
Experiments with Generative Models for Dependency Tree Linearization.
Discourse Planning with an N-gram Model of Relations.
LCSTS: A Large Scale Chinese Short Text Summarization Dataset.
Extractive Summarization by Maximizing Semantic Volume.
Summarizing Student Responses to Reflection Prompts.
Topical Coherence for Graph-based Extractive Summarization.
An Unsupervised Bayesian Modelling Approach for Storyline Detection on News Articles.
From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes.
Krimping texts for better summarization.
Better Summarization Evaluation with Word Embeddings for ROUGE.
GhostWriter: Using an LSTM for Automatic Rap Lyric Generation.
Concept-based Summarization using Integer Linear Programming: From Concept Pruning to Multiple Optimal Solutions.
Abstractive Multi-document Summarization with Semantic Information Extraction.
A Coarse-Grained Model for Optimal Coupling of ASR and SMT Systems for Speech Translation.
Hierarchical Latent Words Language Models for Robust Modeling to Out-Of Domain Tasks.
Turn-taking phenomena in incremental dialogue systems.
Transition-based Dependency Parsing Using Two Heterogeneous Gated Recursive Neural Networks.
Diversity in Spectral Learning for Natural Language Parsing.
Hierarchical Low-Rank Tensors for Multilingual Transfer Parsing.
Multilingual discriminative lexicalized phrase structure parsing.
A Transition-based Model for Joint Segmentation, POS-tagging and Normalization.
Generalized Agreement for Bidirectional Word Alignment.
Leave-one-out Word Alignment without Garbage Collector Effects.
Personality Profiling of Fictional Characters using Sense-Level Links between Lexical Resources.
A Computational Cognitive Model of Novel Word Generalization.
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths.
Improved Relation Extraction with Feature-Rich Compositional Embedding Models.
CORE: Context-Aware Open Relation Extraction with Factorization Machines.
Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks.
Solving General Arithmetic Word Problems.
Learning Semantic Composition to Detect Non-compositionality of Multiword Expressions.
Do Multi-Sense Embeddings Improve Natural Language Understanding?
Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems.
Broad-coverage CCG Semantic Parsing with AMR.
A Strong Lexical Matching Method for the Machine Comprehension Test.
Online Learning of Interpretable Word Embeddings.
Script Induction as Language Modeling.
Adapting Phrase-based Machine Translation to Normalise Medical Terms in Social Media Messages.
Measuring Prerequisite Relations Among Concepts.
Learning to Identify the Best Contexts for Knowledge-based WSD.
Context-Dependent Knowledge Graph Embedding.
Large-Scale Acquisition of Entailment Pattern Pairs by Exploiting Transitivity.
Event Detection and Factuality Assessment with Non-Expert Supervision.
Reverse-engineering Language: A Study on the Semantic Compositionality of German Compounds.
Unsupervised Negation Focus Identification with Word-Topic Graph Model.
Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks.
Recognizing Textual Entailment Using Probabilistic Inference.
Reading Documents for Bayesian Online Change Point Detection.
A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution.
Posterior calibration and exploratory analysis for natural language processing models.
Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks.
Molding CNNs for text: non-linear, non-consecutive convolutions.
Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections.
Conversation Trees: A Grammar Model for Topic Structure in Forums.
Syntax-Aware Multi-Sense Word Embeddings for Deep Compositional Models of Meaning.
Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation.
A Utility Model of Authors in the Scientific Community.
Representing Text for Joint Embedding of Text and Knowledge Bases.
Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction.
Do You See What I Mean? Visual Resolution of Linguistic Ambiguities.
Solving Geometry Problems: Combining Text and Diagram Interpretation.
Improving Semantic Parsing with Enriched Synchronous Context-Free Grammar.
Joint A* CCG Parsing and Semantic Role Labelling.
Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings.
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification.
Effective Approaches to Attention-based Neural Machine Translation.
A Comparison between Count and Neural Network Models Based on Joint Translation and Reordering Sequences.
Learning Semantic Representations for Nonterminals in Hierarchical Phrase-Based Translation.
Improving Statistical Machine Translation with a Multilingual Paraphrase Database.
An Improved Non-monotonic Transition System for Dependency Parsing.
Not All Contexts Are Created Equal: Better Word Representations with Variable Attention.
Syntactic Parse Fusion.
Improved Transition-Based Parsing and Tagging with Neural Networks.
Semi-supervised Dependency Parsing using Bilexical Contextual Features from Auto-Parsed Data.
Foreebank: Syntactic Analysis of Customer Support Forums.
Empty Category Detection using Path Features and Distributed Case Frames.
Online Updating of Word Representations for Part-of-Speech Tagging.
Efficient Inner-to-outer Greedy Algorithm for Higher-order Labeled Dependency Parsing.
Combining Discrete and Continuous Features for Deterministic Transition-based Dependency Parsing.
Improving Arabic Diacritization through Syntactic Analysis.
An Improved Tag Dictionary for Faster Part-of-Speech Tagging.
Part-of-speech Taggers for Low-resource Languages using CCA Features.
Search-Aware Tuning for Hierarchical Phrase-based Decoding.
Detecting Content-Heavy Sentences: A Cross-Language Case Study.
How to Avoid Unwanted Pregnancies: Domain Adaptation using Neural Network Models.
Bilingual Correspondence Recursive Autoencoder for Statistical Machine Translation.
Graph-Based Collective Lexical Selection for Statistical Machine Translation.
Consistency-Aware Search for Word Alignment.
Hierarchical Back-off Modeling of Hiero Grammar based on Non-parametric Bayesian Model.
Semi-supervised Chinese Word Segmentation based on Bilingual Information.
Long Short-Term Memory Neural Networks for Chinese Word Segmentation.
Keyboard Logs as Natural Annotations for Word Segmentation.
Do we need bigram alignment models? On the effect of alignment quality on transduction accuracy in G2P.
Alignment-Based Compositional Semantics for Instruction Following.
The Forest Convolutional Network: Compositional Distributional Semantics with a Neural Chart and without Binarization.
Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation.
Automatically Solving Number Word Problems by Semantic Parsing and Reasoning.
A model of rapid phonotactic generalization.
Experiments in Open Domain Deception Detection.
The Overall Markedness of Discourse Relations.
Trans-gram, Fast Cross-lingual Word-embeddings.
Motivating Personality-aware Machine Translation.
Rule Selection with Soft Syntactic Features for String-to-Tree Statistical Machine Translation.
Hierarchical Phrase-based Stream Decoding.
Translation Invariant Word Embeddings.
Supervised Phrase Table Triangulation with Neural Word Embeddings for Low-Resource Languages.
Investigating Continuous Space Language Models for Machine Translation Quality Estimation.
ReVal: A Simple and Effective Machine Translation Evaluation Metric Based on Recurrent Neural Networks.
Hierarchical Incremental Adaptation for Statistical Machine Translation.
System Combination for Machine Translation through Paraphrasing.
A Discriminative Training Procedure for Continuous Translation Models.
Touch-Based Pre-Post-Editing of Machine Translation Output.
Improving fast_align by Reordering.
Learning to Automatically Solve Logic Grid Puzzles.
Incorporating Trustiness and Collective Synonym/Contrastive Evidence into Taxonomy Construction.
Sarcastic or Not: Word Embeddings to Predict the Literal or Sarcastic Meaning of Words.
Semantic Framework for Comparison Structures in Natural Language.
Mise en Place: Unsupervised Interpretation of Instructional Recipes.
RELLY: Inferring Hypernym Relationships Between Relational Phrases.
Semantic Role Labeling with Neural Network Factors.
Feature-Rich Two-Stage Logistic Regression for Monolingual Alignment.
Joint prediction in MST-style discourse parsing for argumentation mining.
Discourse parsing for multi-party chat dialogues.
Dual Decomposition Inference for Graphical Models over Strings.
Auto-Sizing Neural Networks: With Applications to n-gram Language Models.
Hierarchical Recurrent Neural Network for Document Modeling.
How Much Information Does a Human Translator Add to the Original?
Joint Entity Recognition and Disambiguation.
FINET: Context-Aware Fine-Grained Named Entity Typing.
Joint Mention Extraction and Classification with Mention Hypergraphs.
C3EL: A Joint Model for Cross-Document Co-Reference Resolution and Entity Linking.
A Framework for Comparing Groups of Documents.
Multi-label Text Categorization with Joint Learning Predictions-as-Features Method.
Component-Enhanced Chinese Character Embeddings.
An Unsupervised Method for Discovering Lexical Variations in Roman Urdu Informal Text.
Learn to Solve Algebra Word Problems Using Quadratic Programming.
Recognizing Biographical Sections in Wikipedia.
Summarizing Topical Contents from PubMed Documents Using a Thematic Analysis.
Learning Timeline Difference for Text Categorization.
Sentence Modeling with Gated Recursive Neural Network.
TSDPMM: Incorporating Prior Topic Knowledge into Dirichlet Process Mixture Models for Text Clustering.
Predicting the Structure of Cooking Recipes.
Convolutional Sentence Kernel from Word Embeddings for Short Text Categorization.
Mr. Bennet, his coachman, and the Archbishop walk into a bar but only one of them gets recognized: On The Difficulty of Detecting Characters in Literary Texts.
Sieve-Based Spatial Relation Extraction with Expanding Parse Trees.
Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning.
Open-Domain Name Error Detection using a Multi-Task RNN.
Knowledge Base Unification via Sense Embeddings and Disambiguation.
Corpus-level Fine-grained Entity Typing Using Contextual Information.
Modeling Relation Paths for Representation Learning of Knowledge Bases.
Language and Domain Independent Entity Linking with Quantified Collective Validation.
Exploring Markov Logic Networks for Question Answering.
Stochastic Top-k ListNet.
Biography-Dependent Collaborative Entity Archiving for Slot Filling.
Name List Only? Target Entity Disambiguation in Short Texts.
Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language.
A large annotated corpus for learning natural language inference.
Extracting Condition-Opinion Relations Toward Fine-grained Opinion Mining.
Neural Networks for Open Domain Targeted Sentiment.
Sentiment Flow - A General Model of Web Review Argumentation.
Detecting Risks in the Banking System by Sentiment Analysis.
Image-Mediated Learning for Zero-Shot Cross-Lingual Document Retrieval.
Key Concept Identification for Medical Information Retrieval.
Global Thread-level Inference for Comment Classification in Community Question Answering.
Online Sentence Novelty Scoring for Topical Document Streams.
LDTM: A Latent Document Type Model for Cumulative Citation Recommendation.
Inferring Binary Relation Schemas for Open Information Extraction.
Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings.
A Baseline Temporal Tagger for all Languages.
Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling.
An Entity-centric Approach for Overcoming Knowledge Graph Sparsity.
Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists.
"A Spousal Relation Begins with a Deletion of engage and Ends with an Addition of divorce": Learning State Changing Verbs from Wikipedia Revision History.
Named entity recognition with document-specific KB tag gazetteers.
Extraction and generalisation of variables from scientific publications.
Semi-Supervised Bootstrapping of Relationship Extractors with Distributional Semantics.
Automatic Extraction of Time Expressions Accross Domains in French Narratives.
Joint Embedding of Query and Ad by Leveraging Implicit Feedback.
Learning a Deep Hybrid Model for Semi-Supervised Text Classification.
Human Evaluation of Grammatical Error Correction Systems.
Spelling Correction of User Search Queries through Statistical Machine Translation.
Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection.
Flexible Domain Adaptation for Automated Essay Scoring Using Correlated Linear Regression.
More Features Are Not Always Better: Evaluating Generalizing Models in Incident Type Classification of Tweets.
A Graph-based Readability Assessment Method using Word Coupling.
Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags.
Scientific Article Summarization Using Citation-Context and Article's Discourse Structure.
A Neural Attention Model for Abstractive Sentence Summarization.
An Empirical Comparison Between N-gram and Syntactic Language Models for Word Ordering.
Sentence Compression by Deletion with LSTMs.
Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs.
A Neural Network Model for Low-Resource Universal Dependency Parsing.
Density-Driven Cross-Lingual Transfer of Dependency Parsers.
Traversing Knowledge Graphs in Vector Space.
Efficient Methods for Incorporating Knowledge into Topic Models.
Evaluation methods for unsupervised word embeddings.
Noise or additional information? Leveraging crowdsource annotation item agreement for natural language tasks.
Composing Relationships with Translations.
Learning Better Embeddings for Rare Words Using Distributional Representations.
An Empirical Analysis of Optimization for Max-Margin NLP.
Aligning Knowledge and Text Embeddings by Entity Descriptions.
Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors.
Pre-Computable Multi-Layer Neural Network Language Models.
Modeling Tweet Arrival Times using Log-Gaussian Cox Processes.
A Model of Zero-Shot Learning of Spoken Language Understanding.
Online Representation Learning in Recurrent Neural Language Models.
Non-lexical neural architecture for fine-grained POS Tagging.
Factorization of Latent Variables in Distributional Semantic Models.
On A Strictly Convex IBM Model 1.
Combining Geometric, Textual and Visual Features for Predicting Prepositions in Image Descriptions.
A Survey of Current Datasets for Vision and Language Research.
Cross-document Event Coreference Resolution based on Cross-media Features.
Learning to Recognize Affective Polarity in Similes.
Joint Prediction for Entity/Event-Level Sentiment Analysis using Probabilistic Soft Logic Models.
Monotone Submodularity in Opinion Summaries.
Cross Lingual Sentiment Analysis using Modified BRAE.
Visual Bilingual Lexicon Induction with Transferred ConvNet Features.
Indicative Tweet Generation: An Extractive Summarization Problem?
Re-evaluating Automatic Summarization with BLEU and 192 Shades of ROUGE.
Phrase-based Compressive Cross-Language Summarization.
System Combination for Multi-document Summarization.
Semantic Annotation for Microblog Topics Using Wikipedia Temporal Information.
Using Personal Traits For Brand Preference Prediction.
Open Extraction of Fine-Grained Political Statements.
Identifying Political Sentiment between Nation States with Social Media.
Syntax-based Rewriting for Simultaneous Machine Translation.
Reordering Grammar Induction.
Dependency Graph-to-String Translation.
Building a shared world: mapping distributional to model-theoretic semantic spaces.
Distributional vectors encode referential attributes.
Language Understanding for Text-based Games using Deep Reinforcement Learning.
