NAACL.2016

#1 Achieving Accurate Conclusions in Evaluation of Automatic Machine Translation Metrics

#2 Flexible Non-Terminals for Dependency Tree-to-Tree Reordering

#3 Selecting Syntactic, Non-redundant Segments in Active Learning for Machine Translation

#4 Multi-Source Neural Translation

#5 Controlling Politeness in Neural Machine Translation via Side Constraints

#6 An Empirical Evaluation of Noise Contrastive Estimation for the Neural Network Joint Model of Translation

#7 Neural Network-Based Abstract Generation for Opinions and Arguments

#8 A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization

#9 Entity-balanced Gaussian pLSA for Automated Comparison

#10 Automatic Summarization of Student Course Feedback

#11 Knowledge-Guided Linguistic Rewrites for Inference Rule Verification

#12 Abstractive Sentence Summarization with Attentive Recurrent Neural Networks

#13 Integer Linear Programming for Discourse Parsing

#14 A Diversity-Promoting Objective Function for Neural Conversation Models

#15 Multi-domain Neural Network Language Generation for Spoken Dialogue Systems

#16 A Long Short-Term Memory Framework for Predicting Humor in Dialogues

#17 Conversational Flow in Oxford-style Debates

#18 Counter-fitting Word Vectors to Linguistic Constraints

#19 Grounded Semantic Role Labeling

#20 Black Holes and White Rabbits: Metaphor Identification with Visual Features

#21 Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning

#22 Unsupervised Visual Sense Disambiguation for Verbs using Multimodal Embeddings

#23 Stating the Obvious: Extracting Visual Common Sense Knowledge

#24 Recurrent Neural Network Grammars

#25 Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks