acl134

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 2: Short Papers.

How (not) to train a dependency parser: The curious case of jackknifing part-of-speech taggers.
Character Composition Model with Convolutional Neural Networks for Dependency Parsing on Morphologically Rich Languages.
Character-Aware Neural Morphological Disambiguation.
Temporal Orientation of Tweets for Predicting Income of Users.
Recognizing Counterfactual Thinking in Social Media Texts.
Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter.
Determining Whether and When People Participate in the Events They Tweet About.
Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization.
Representing Sentences as Low-Rank Subspaces.
Neural Semantic Parsing over Multiple Knowledge-bases.
Pay Attention to the Ending: Strong Neural Baselines for the ROC Story Cloze Task.
Fast and Accurate Neural Word Segmentation for Chinese.
Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging.
EuroSense: Automatic Harvesting of Multilingual Sense Annotations from Parallel Text.
Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary.
Chunk-Based Bi-Scale Decoder for Neural Machine Translation.
Speeding Up Neural Machine Translation Decoding by Shrinking Run-time Vocabulary.
Data Augmentation for Low-Resource Neural Machine Translation.
Sentence Embedding for Neural Machine Translation Domain Adaptation.
On the Equivalence of Holographic and Complex Embeddings for Link Prediction.
Disfluency Detection using a Noisy Channel Model and a Deep Neural Language Model.
Improving Native Language Identification by Using Spelling Errors.
List-only Entity Linking.
Salience Rank: Efficient Keyphrase Extraction with Topic Modeling.
A Generative Attentional Neural Network Model for Dialogue Act Classification.
Self-Crowdsourcing Training for Relation Extraction.
Question Answering through Transfer Learning from Large Fine-grained Supervision Data.
A Conditional Variational Framework for Dialog Generation.
AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine.
Parser Adaptation for Social Media by Integrating Normalization.
A Network Framework for Noisy Label Aggregation in Social Media.
Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning.
Demographic Inference on Twitter using Recursive Neural Networks.
Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation.
Multilingual Connotation Frames: A Case Study on Social Media for Targeted Sentiment Analysis and Forecast.
Methodical Evaluation of Arabic Word Embeddings.
Temporal Word Analogies: Identifying Lexical Replacement with Diachronic Word Embeddings.
Learning Topic-Sensitive Word Representations.
Improving Semantic Composition with Offset Inference.
English Multiword Expression-aware Dependency Parsing Including Named Entities.
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection.
STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset.
Automatic Compositor Attribution in the First Folio of Shakespeare.
Detection of Chinese Word Usage Errors for Non-Native Chinese Learners with Bidirectional LSTM.
Feature Hashing for Language and Dialect Identification.
Efficient Extraction of Pseudo-Parallel Sentences from Raw Monolingual Data Using Word Embeddings.
An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation.
Neural System Combination for Machine Translation.
A Deep Network with Visual Text Composition Behavior.
Differentiable Scheduled Sampling for Credit Assignment.
Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks.
Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets.
Cardinal Virtues: Extracting Relation Cardinalities from Text.
Multi-Task Learning of Keyphrase Boundary Classification.
Group Sparse CNNs for Question Classification with Answer Sets.
Fine-Grained Entity Typing with High-Multiplicity Assignments.
Feature-Rich Networks for Knowledge Base Completion.
Bootstrapping for Numerical Open IE.
Answering Complex Questions Using Open Information Extraction.
Pocket Knowledge Base Population.
EviNets: Neural Networks for Combining Evidence Signals for Factoid Question Answering.
English Event Detection With Translated Language Features.
A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes.
Japanese Sentence Compression with a Large Training Dataset.
Oracle Summaries of Compressive Summarization.
Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings.
Discourse Annotation of Non-native Spontaneous Spoken Responses Using the Rhetorical Structure Theory Framework.
A Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations.
Argumentation Quality Assessment: Theory vs. Practice.
Detecting Good Arguments in a Non-Topic-Specific Way: An Oxymoron?
Cross-lingual and cross-domain discourse segmentation of entire documents.
How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models.
Neural Architecture for Temporal Relation Extraction: A Bi-LSTM Approach for Detecting Narrative Containers.
A Corpus of Natural Language for Visual Reasoning.
A Neural Model for User Geolocation and Lexical Dialectology.
Understanding and Detecting Diverse Supporting Arguments on Controversial Issues.
Attention Strategies for Multi-Source Sequence-to-Sequence Learning.
Error-repair Dependency Parsing for Ungrammatical Texts.
A Two-Stage Parsing Method for Text-Level Discourse Analysis.
The Role of Prosody and Speech Register in Word Segmentation: A Computational Modelling Perspective.
Implicitly-Defined Neural Networks for Sequence Labeling.
Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function.
Improving Neural Parsing by Disentangling Model Combination and Reranking Effects.
Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization.
Lifelong Learning CRF for Supervised Aspect Extraction.
Learning Lexico-Functional Patterns for First-Person Affect.
Towards String-To-Tree Neural Machine Translation.
Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation.
A Generative Parser with a Discriminative Recognition Algorithm.
Arc-swift: A Novel Transition System for Dependency Parsing.
Understanding Task Design Trade-offs in Crowdsourced Paraphrase Collection.
Sentence Alignment Methods for Improving Text Simplification Systems.
On the Challenges of Translating NLP Research into Commercial Products.
Exploring Neural Text Simplification Models.
On the Distribution of Lexical Features at Multiple Levels of Analysis.
Learning to Parse and Translate Improves Neural Machine Translation.
An Analysis of Action Recognition Datasets for Language and Vision Tasks.
Evaluating Compound Splitters Extrinsically with Textual Entailment.
Incorporating Dialectal Variability for Socially Equitable Language Identification.
Incorporating Uncertainty into Deep Learning for Spoken Language Assessment.
Neural Architectures for Multilingual Semantic Parsing.
Vector space models for evaluating semantic fluency in autism.
A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments.
Alternative Objective Functions for Training MT Evaluation Metrics.
Lexical Features in Coreference Resolution: To be Used With Caution.
AMR-to-text Generation with Synchronous Node Replacement Grammar.
Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths.