acl 2018 论文列表
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 2: Short Papers.
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'Lighter' Can Still Be Dark: Modeling Comparative Color Descriptions.
Know What You Don't Know: Unanswerable Questions for SQuAD.
Cross-Target Stance Classification with Self-Attention Networks.
Disambiguating False-Alarm Hashtag Usages in Tweets for Irony Detection.
Pretraining Sentiment Classifiers with Unlabeled Dialog Data.
A Multi-sentiment-resource Enhanced Attention Network for Sentiment Classification.
Tackling the Story Ending Biases in The Story Cloze Test.
A Co-Matching Model for Multi-choice Reading Comprehension.
On the Practical Computational Power of Finite Precision RNNs for Language Recognition.
Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum.
Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization.
Split and Rephrase: Better Evaluation and Stronger Baselines.
Learning Simplifications for Specific Target Audiences.
Personalized Review Generation By Expanding Phrases and Attending on Aspect-Aware Representations.
Personalized Language Model for Query Auto-Completion.
Examining Temporality in Document Classification.
diaNED: Time-Aware Named Entity Disambiguation for Diachronic Corpora.
Enhancing Drug-Drug Interaction Extraction from Texts by Molecular Structure Information.
Learning Cross-lingual Distributed Logical Representations for Semantic Parsing.
Polyglot Semantic Role Labeling.
Automatic Estimation of Simultaneous Interpreter Performance.
Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation.
Breaking NLI Systems with Sentences that Require Simple Lexical Inferences.
Extracting Commonsense Properties from Embeddings with Limited Human Guidance.
Scoring Lexical Entailment with a Supervised Directional Similarity Network.
Exploring Semantic Properties of Sentence Embeddings.
Generalized chart constraints for efficient PCFG and TAG parsing.
Parser Training with Heterogeneous Treebanks.
An Empirical Study of Building a Strong Baseline for Constituency Parsing.
Investigating Audio, Video, and Text Fusion Methods for End-to-End Automatic Personality Prediction.
Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining.
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction.
Modeling Sentiment Association in Discourse for Humor Recognition.
Exploiting Document Knowledge for Aspect-level Sentiment Classification.
Unsupervised Learning of Style-sensitive Word Vectors.
GNEG: Graph-Based Negative Sampling for word2vec.
Addressing Noise in Multidialectal Word Embeddings.
A Rank-Based Similarity Metric for Word Embeddings.
Sense-Aware Neural Models for Pun Location in Texts.
End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions.
Learning with Structured Representations for Negation Scope Extraction.
A Document Descriptor using Covariance of Word Vectors.
PhraseCTM: Correlated Topic Modeling on Phrases within Markov Random Fields.
Dynamic and Static Topic Model for Analyzing Time-Series Document Collections.
Party Matters: Enhancing Legislative Embeddings with Author Attributes for Vote Prediction.
Automated essay scoring with string kernels and word embeddings.
Automatic Academic Paper Rating Based on Modularized Hierarchical Convolutional Neural Network.
Simplified Abugidas.
Simpler but More Accurate Semantic Dependency Parsing.
Linear-time Constituency Parsing with RNNs and Dynamic Programming.
Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing.
Do Neural Network Cross-Modal Mappings Really Bridge Modalities?
The Influence of Context on Sentence Acceptability Judgements.
Predicting accuracy on large datasets from smaller pilot data.
SciDTB: Discourse Dependency TreeBank for Scientific Abstracts.
Modeling discourse cohesion for discourse parsing via memory network.
Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing.
Improving Slot Filling in Spoken Language Understanding with Joint Pointer and Attention.
Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots.
Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention.
Neural Open Information Extraction.
Judicious Selection of Training Data in Assisting Language for Multilingual Neural NER.
Neural Cross-Lingual Coreference Resolution And Its Application To Entity Linking.
Orthographic Features for Bilingual Lexicon Induction.
Bleaching Text: Abstract Features for Cross-lingual Gender Prediction.
Neural Hidden Markov Model for Machine Translation.
Sparse and Constrained Attention for Neural Machine Translation.
Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling.
Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora.
Using pseudo-senses for improving the extraction of synonyms from word embeddings.
Leveraging distributed representations and lexico-syntactic fixedness for token-level prediction of the idiomaticity of English verb-noun combinations.
Improving Beam Search by Removing Monotonic Constraint for Neural Machine Translation.
Bag-of-Words as Target for Neural Machine Translation.
Learning from Chunk-based Feedback in Neural Machine Translation.
Multi-representation ensembles and delayed SGD updates improve syntax-based NMT.
Extreme Adaptation for Personalized Neural Machine Translation.
Compositional Representation of Morphologically-Rich Input for Neural Machine Translation.
Dynamic Sentence Sampling for Efficient Training of Neural Machine Translation.
A Simple and Effective Approach to Coverage-Aware Neural Machine Translation.
Injecting Relational Structural Representation in Neural Networks for Question Similarity.
Narrative Modeling with Memory Chains and Semantic Supervision.
CNN for Text-Based Multiple Choice Question Answering.
Conditional Generators of Words Definitions.
Paper Abstract Writing through Editing Mechanism.
Obligation and Prohibition Extraction Using Hierarchical RNNs.
Improving Topic Quality by Promoting Named Entities in Topic Modeling.
A Study of the Importance of External Knowledge in the Named Entity Recognition Task.
Hybrid semi-Markov CRF for Neural Sequence Labeling.
Filtering and Mining Parallel Data in a Joint Multilingual Space.
Characterizing Departures from Linearity in Word Translation.
A Multi-task Approach to Learning Multilingual Representations.
Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce.
Task-oriented Dialogue System for Automatic Diagnosis.
Diachronic degradation of language models: Insights from social media.
Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer.
Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model.
Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources.
A Language Model based Evaluator for Sentence Compression.
Global Encoding for Abstractive Summarization.
Improved Evaluation Framework for Complex Plagiarism Detection.
Automatic Article Commenting: the Task and Dataset.
Construction of a Chinese Corpus for the Analysis of the Emotionality of Metaphorical Expressions.
Analogical Reasoning on Chinese Morphological and Semantic Relations.
SNAG: Spoken Narratives and Gaze Dataset.
A dataset for identifying actionable feedback in collaborative software development.
A Named Entity Recognition Shootout for German.
Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers.
Fully Statistical Neural Belief Tracking.
Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering.
Automatic Extraction of Commonsense LocatedNear Knowledge.
Ranking-Based Automatic Seed Selection and Noise Reduction for Weakly Supervised Relation Extraction.
A Walk-based Model on Entity Graphs for Relation Extraction.
Type-Sensitive Knowledge Base Inference Without Explicit Type Supervision.
Named Entity Recognition With Parallel Recurrent Neural Networks.
Identification of Alias Links among Participants in Narratives.
Unsupervised Semantic Frame Induction using Triclustering.
Learning Thematic Similarity Metric from Article Sections Using Triplet Networks.
Active learning for deep semantic parsing.
Domain Adapted Word Embeddings for Improved Sentiment Classification.
HotFlip: White-Box Adversarial Examples for Text Classification.
Towards Robust and Privacy-preserving Text Representations.
Word Error Rate Estimation for Speech Recognition: e-WER.
Deep RNNs Encode Soft Hierarchical Syntax.
Restricted Recurrent Neural Tensor Networks: Exploiting Word Frequency and Compositionality.
Continuous Learning in a Hierarchical Multiscale Neural Network.
