ACL2016

Representation Learning

1. Context-Dependent Sense Embedding
2. Jointly Embedding Knowledge Graphs and Logical Rules
3. Learning Connective-based Word Representations for Implicit Discourse Relation Identification
4. Latent Tree Language Model
5. Morphological Priors for Probabilistic Neural Word Embeddings
6. WordRank: Learning Word Embeddings via Robust Ranking
7. Are Word Embedding-based Features Useful for Sarcasm Detection?
8. Robust Gram Embeddings
9. Convolutional Neural Network Language Models
10. Generalizing and Hybridizing Count-based and Neural Language Models
11. Long-Short Range Context Neural Networks for Language Modeling
12. Charagram: Embedding Words and Sentences via Character n-grams
13. Improving Sparse Word Representations with Distributional Inference for Semantic Composition
14. Character Sequence Models for Colorful Words
15. Representing Verbs with Rich Contexts: an Evaluation on Verb Similarity
16. Learning Robust Representations of Text
17. Gated Word-Character Recurrent Language Model
18. Natural Language Model Re-usability for Scaling to Different Domains
19. Word Ordering Without Syntax

Text Classification

1. Deep Multi-Task Learning with Shared Memory for Text Classification
2. Aspect Level Sentiment Classification with Deep Memory Network
3. Learning Sentence Embeddings with Auxiliary Tasks for Cross-Domain Sentiment Classification
4. Attention-based LSTM Network for Cross-Lingual Sentiment Classification
5. Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora
6. Attention-based LSTM for Aspect-level Sentiment Classification
7. Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis
8. Extracting Aspect Specific Opinion Expressions
9. Emotion Distribution Learning from Texts
10. Rationale-Augmented Convolutional Neural Networks for Text Classification
11. Recurrent Residual Learning for Sequence Classification
12. A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis
13. Weakly Supervised Tweet Stance Classification by Relational Bootstrapping
14. Understanding Language Preference for Expression of Opinion and Sentiment: What do Hindi-English Speakers do on Twitter?
15. Context-Sensitive Lexicon Features for Neural Sentiment Analysis
16. Neural Sentiment Classification with User and Product Attention
17. Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification
18. Regularizing Text Categorization with Clusters of Words

Others

1. Sequence-to-Sequence Learning as Beam-Search Optimization
2. Sequence-Level Knowledge Distillation
3. A Decomposable Attention Model for Natural Language Inference