ACL.2015 - Long Papers

[P] [K] On Using Very Large Target Vocabulary for Neural Machine Translation

[P] [K] Addressing the Rare Word Problem in Neural Machine Translation

[P] [K] Encoding Source Language with Convolutional Neural Network for Machine Translation

[P] [K] Statistical Machine Translation Features with Multitask Tensor Networks

[P] [K] Describing Images using Inferred Visual Dependency Representations

[P] [K] Text to 3D Scene Generation with Rich Lexical Grounding

[P] [K] MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity

[P] [K] Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums

[P] [K] Semantically Smooth Knowledge Graph Embedding

[P] [K] SensEmbed: Learning Sense Embeddings for Word and Relational Similarity

[P] [K] Revisiting Word Embedding for Contrasting Meaning

[P] [K] Joint Models of Disagreement and Stance in Online Debate

[P] [K] Low-Rank Regularization for Sparse Conjunctive Feature Spaces: An Application to Named Entity Classification

[P] [K] Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations

[P] [K] Learning Dynamic Feature Selection for Fast Sequential Prediction

[P] [K] Compositional Vector Space Models for Knowledge Base Completion

[P] [K] Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks

[P] [K] Stacked Ensembles of Information Extractors for Knowledge-Base Population

[P] [K] Generative Event Schema Induction with Entity Disambiguation

[P] [K] Syntax-based Simultaneous Translation through Prediction of Unseen Syntactic Constituents

[P] [K] Efficient Top-Down BTG Parsing for Machine Translation Preordering

[P] [K] Online Multitask Learning for Machine Translation Quality Estimation

[P] [K] A Context-Aware Topic Model for Statistical Machine Translation

[P] [K] Learning Answer-Entailing Structures for Machine Comprehension

[P] [K] Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering