EMNLP.2016

#1 Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles

#2 Rule Extraction for Tree-to-Tree Transducers by Cost Minimization

#3 A Neural Network for Coordination Boundary Prediction

#4 Using Left-corner Parsing to Encode Universal Structural Constraints in Grammar Induction

#5 Distinguishing Past, On-going, and Future Events: The EventStatus Corpus

#6 Nested Propositions in Open Information Extraction

#7 A Position Encoding Convolutional Neural Network Based on Dependency Tree for Relation Classification

#8 Learning to Recognize Discontiguous Entities

#9 Modeling Human Reading with Neural Attention

#10 Comparing Computational Cognitive Models of Generalization in a Language Acquisition Task

#11 Rationalizing Neural Predictions

#12 Deep Multi-Task Learning with Shared Memory for Text Classification

#13 Natural Language Comprehension with the EpiReader

#14 Creating Causal Embeddings for Question Answering with Minimal Supervision

#15 Improving Semantic Parsing via Answer Type Inference

#16 Semantic Parsing to Probabilistic Programs for Situated Question Answering

#17 Event participant modelling with neural networks

#18 Context-Dependent Sense Embedding

#19 Jointly Embedding Knowledge Graphs and Logical Rules

#20 Learning Connective-based Word Representations for Implicit Discourse Relation Identification

#21 Aspect Level Sentiment Classification with Deep Memory Network

#22 Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets

#23 Learning Sentence Embeddings with Auxiliary Tasks for Cross-Domain Sentiment Classification

#24 Attention-based LSTM Network for Cross-Lingual Sentiment Classification

#25 Neural versus Phrase-Based Machine Translation Quality: a Case Study