ACL.2015 - Long Papers

#1 On Using Very Large Target Vocabulary for Neural Machine Translation

#2 Addressing the Rare Word Problem in Neural Machine Translation

#3 Encoding Source Language with Convolutional Neural Network for Machine Translation

#4 Statistical Machine Translation Features with Multitask Tensor Networks

#5 Describing Images using Inferred Visual Dependency Representations

#6 Text to 3D Scene Generation with Rich Lexical Grounding

#7 MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity

#8 Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums

#9 Semantically Smooth Knowledge Graph Embedding

#10 SensEmbed: Learning Sense Embeddings for Word and Relational Similarity

#11 Revisiting Word Embedding for Contrasting Meaning

#12 Joint Models of Disagreement and Stance in Online Debate

#13 Low-Rank Regularization for Sparse Conjunctive Feature Spaces: An Application to Named Entity Classification

#14 Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations

#15 Learning Dynamic Feature Selection for Fast Sequential Prediction

#16 Compositional Vector Space Models for Knowledge Base Completion

#17 Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks

#18 Stacked Ensembles of Information Extractors for Knowledge-Base Population

#19 Generative Event Schema Induction with Entity Disambiguation

#20 Syntax-based Simultaneous Translation through Prediction of Unseen Syntactic Constituents

#21 Efficient Top-Down BTG Parsing for Machine Translation Preordering

#22 Online Multitask Learning for Machine Translation Quality Estimation

#23 A Context-Aware Topic Model for Statistical Machine Translation

#24 Learning Answer-Entailing Structures for Machine Comprehension

#25 Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering