acl135

acl 2017 论文列表

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 1: Long Papers.

Semantic Parsing of Pre-university Math Problems.
Semi-supervised Multitask Learning for Sequence Labeling.
Parsing to 1-Endpoint-Crossing, Pagenumber-2 Graphs.
Identifying 1950s American Jazz Musicians: Fine-Grained IsA Extraction via Modifier Composition.
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment.
Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings.
A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data.
Learning Character-level Compositionality with Visual Features.
Improved Word Representation Learning with Sememes.
Deep Multitask Learning for Semantic Dependency Parsing.
Riemannian Optimization for Skip-Gram Negative Sampling.
From Characters to Words to in Between: Do We Capture Morphology?
Morphological Inflection Generation with Hard Monotonic Attention.
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion.
Using Global Constraints and Reranking to Improve Cognates Detection.
Estimating Code-Switching on Twitter with a Novel Generalized Word-Level Language Detection Technique.
Adversarial Training for Unsupervised Bilingual Lexicon Induction.
Cross-lingual Name Tagging and Linking for 282 Languages.
Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder.
A Teacher-Student Framework for Zero-Resource Neural Machine Translation.
Doubly-Attentive Decoder for Multi-modal Neural Machine Translation.
Chunk-based Decoder for Neural Machine Translation.
An Algebra for Feature Extraction.
Learning to Skim Text.
Reading Wikipedia to Answer Open-Domain Questions.
Towards a Seamless Integration of Word Senses into Downstream NLP Applications.
Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering.
Gated-Attention Readers for Text Comprehension.
Search-based Neural Structured Learning for Sequential Question Answering.
Jointly Extracting Relations with Class Ties via Effective Deep Ranking.
Topical Coherence in LDA-based Models through Induced Segmentation.
Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms.
Neural Belief Tracker: Data-Driven Dialogue State Tracking.
Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings.
Semi-supervised sequence tagging with bidirectional language models.
Generic Axiomatization of Families of Noncrossing Graphs in Dependency Parsing.
Universal Dependencies Parsing for Colloquial Singaporean English.
CANE: Context-Aware Network Embedding for Relation Modeling.
Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models.
Active Sentiment Domain Adaptation.
Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation.
Linguistically Regularized LSTM for Sentiment Classification.
Linguistic analysis of differences in portrayal of movie characters.
Enhanced LSTM for Natural Language Inference.
Multimodal Word Distributions.
Interactive Learning of Grounded Verb Semantics towards Human-Robot Communication.
Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding.
Learning Semantic Correspondences in Technical Documentation.
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.
Neural Modeling of Multi-Predicate Interactions for Japanese Predicate Argument Structure Analysis.
Automatic Induction of Synsets from a Graph of Synonyms.
A Corpus of Annotated Revisions for Studying Argumentative Writing.
MalwareTextDB: A Database for Annotated Malware Articles.
Combating Human Trafficking with Multimodal Deep Models.
Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search.
Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation.
Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization.
Bandit Structured Prediction for Neural Sequence-to-Sequence Learning.
Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling.
Context Sensitive Lemmatization Using Two Successive Bidirectional Gated Recurrent Networks.
Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection.
Unsupervised Text Segmentation Based on Native Language Characteristics.
Prerequisite Relation Learning for Concepts in MOOCs.
Leveraging Knowledge Bases in LSTMs for Improving Machine Reading.
Understanding and Predicting Empathic Behavior in Counseling Therapy.
Cross-lingual Distillation for Text Classification.
A Constituent-Centric Neural Architecture for Reading Comprehension.
Transductive Non-linear Learning for Chinese Hypernym Prediction.
Can Syntax Help? Improving an LSTM-based Sentence Compression Model for New Domains.
Learning to Generate Market Comments from Stock Prices.
Flexible and Creative Chinese Poetry Generation Using Neural Memory.
Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback.
Learning to Ask: Neural Question Generation for Reading Comprehension.
Data-Driven Broad-Coverage Grammars for Opinionated Natural Language Generation (ONLG).
A Neural Local Coherence Model.
Chat Detection in an Intelligent Assistant: Combining Task-oriented and Non-task-oriented Spoken Dialogue Systems.
Adversarial Adaptation of Synthetic or Stale Data.
Enriching Complex Networks with Word Embeddings for Detecting Mild Cognitive Impairment from Speech Transcripts.
Multi-Task Video Captioning with Video and Entailment Generation.
Unifying Text, Metadata, and User Network Representations with a Neural Network for Geolocation Prediction.
Vancouver Welcomes You! Minimalist Location Metonymy Resolution.
A Local Detection Approach for Named Entity Recognition and Mention Detection.
Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme.
Robust Incremental Neural Semantic Graph Parsing.
Neural Joint Model for Transition-based Chinese Syntactic Analysis.
Adversarial Multi-Criteria Learning for Chinese Word Segmentation.
Probabilistic Typology: Deep Generative Models of Vowel Inventories.
Abstractive Document Summarization with a Graph-Based Attentional Neural Model.
Detecting annotation noise in automatically labelled data.
Visualizing and Understanding Neural Machine Translation.
Abstract Syntax Networks for Code Generation and Semantic Parsing.
A Transition-Based Directed Acyclic Graph Parser for UCCA.
Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses.
PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents.
Selective Encoding for Abstractive Sentence Summarization.
Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization.
Get To The Point: Summarization with Pointer-Generator Networks.
Diversity driven attention model for query-based abstractive summarization.
From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood.
Semi-Supervised QA with Generative Domain-Adaptive Nets.
Bayesian Modeling of Lexical Resources for Low-Resource Settings.
Don't understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures.
Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification.
Neural Discourse Structure for Text Categorization.
Argument Mining with Structured SVMs and RNNs.
Joint Modeling of Content and Discourse Relations in Dialogues.
Learning a Neural Semantic Parser from User Feedback.
An Interpretable Knowledge Transfer Model for Knowledge Base Completion.
Semantic Word Clusters Using Signed Spectral Clustering.
Naturalizing a Programming Language via Interactive Learning.
Going out on a limb: Joint Extraction of Entity Mentions and Relations without Dependency Trees.
Apples to Apples: Learning Semantics of Common Entities Through a Novel Comprehension Task.
Tandem Anchoring: a Multiword Anchor Approach for Interactive Topic Modeling.
A Multidimensional Lexicon for Interpersonal Stancetaking.
Context-Dependent Sentiment Analysis in User-Generated Videos.
What do Neural Machine Translation Models Learn about Morphology?
Neural Machine Translation via Binary Code Prediction.
Neural Word Segmentation with Rich Pretraining.
Semantic Dependency Parsing via Book Embedding.
A Minimal Span-Based Neural Constituency Parser.
Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability.
Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction.
Polish evaluation dataset for compositional distributional semantics models.
Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts.
TextFlow: A Text Similarity Measure based on Continuous Sequences.
A Nested Attention Neural Hybrid Model for Grammatical Error Correction.
Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter.
Beyond Binary Labels: Political Ideology Prediction of Twitter Users.
EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks.
Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning.
Sequence-to-Dependency Neural Machine Translation.
Modeling Source Syntax for Neural Machine Translation.
Generating Contrastive Referring Expressions.
Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning.
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders.
Domain Attention with an Ensemble of Experts.
Affect-LM: A Neural Language Model for Customizable Affective Text Generation.
Spectral Analysis of Information Density in Dialogue Predicts Collaborative Task Performance.
Representations of language in a model of visually grounded speech signal.
Alignment at Work: Using Language to Distinguish the Internalization and Self-Regulation Components of Cultural Fit in Organizations.
Attention-over-Attention Neural Networks for Reading Comprehension.
Deep Keyphrase Generation.
Improved Neural Relation Detection for Knowledge Base Question Answering.
Deep Pyramid Convolutional Neural Networks for Text Categorization.
MORSE: Semantic-ally Drive-n MORpheme SEgment-er.
Predicting Native Language from Gaze.
Found in Translation: Reconstructing Phylogenetic Language Trees from Translations.
Joint CTC/attention decoding for end-to-end speech recognition.
Learning Word-Like Units from Joint Audio-Visual Analysis.
Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots.
Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access.
Deep Semantic Role Labeling: What Works and What's Next.
Abstract Meaning Representation Parsing using LSTM Recurrent Neural Networks.
Learning bilingual word embeddings with (almost) no bilingual data.
A Syntactic Neural Model for General-Purpose Code Generation.
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix.
Time Expression Analysis and Recognition Using Syntactic Token Types and General Heuristic Rules.
Automatically Labeled Data Generation for Large Scale Event Extraction.
Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization.
An Unsupervised Neural Attention Model for Aspect Extraction.
Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network.
Handling Cold-Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors.
Topically Driven Neural Language Model.
Deep Learning in Semantic Kernel Spaces.
Learning attention for historical text normalization by learning to pronounce.
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling.
Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction.
Aggregating and Predicting Sequence Labels from Crowd Annotations.
A Full Non-Monotonic Transition System for Unrestricted Non-Projective Parsing.
A* CCG Parsing with a Supertag and Dependency Factored Model.
Verb Physics: Relative Physical Knowledge of Actions and Objects.
FOIL it! Find One mismatch between Image and Language caption.
Obtaining referential word meanings from visual and distributional information: Experiments on object naming.
Translating Neuralese.
An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge.
Coarse-to-Fine Question Answering for Long Documents.
Generating Natural Answers by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning.
Gated Self-Matching Networks for Reading Comprehension and Question Answering.
Creating Training Corpora for NLG Micro-Planners.
Automatically Generating Rhythmic Verse with Neural Networks.
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems.
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation.
Deep Neural Machine Translation with Linear Associative Unit.
A Convolutional Encoder Model for Neural Machine Translation.
Discourse Mode Identification in Essays.
Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution.
Joint Learning for Event Coreference Resolution.
The State of the Art in Semantic Representation.
Skip-Gram - Zipf + Uniform = Vector Additivity.
Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules.
Learning Structured Natural Language Representations for Semantic Parsing.
Neural Relation Extraction with Multi-lingual Attention.
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision.
Neural End-to-End Learning for Computational Argumentation Mining.
Adversarial Multi-task Learning for Text Classification.