NAACL.2016 - Main

[P] [K] Achieving Accurate Conclusions in Evaluation of Automatic Machine Translation Metrics

[P] [K] Flexible Non-Terminals for Dependency Tree-to-Tree Reordering

[P] [K] Selecting Syntactic, Non-redundant Segments in Active Learning for Machine Translation

[P] [K] Multi-Source Neural Translation

[P] [K] Controlling Politeness in Neural Machine Translation via Side Constraints

[P] [K] An Empirical Evaluation of Noise Contrastive Estimation for the Neural Network Joint Model of Translation

[P] [K] Neural Network-Based Abstract Generation for Opinions and Arguments

[P] [K] A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization

[P] [K] Entity-balanced Gaussian pLSA for Automated Comparison

[P] [K] Automatic Summarization of Student Course Feedback

[P] [K] Knowledge-Guided Linguistic Rewrites for Inference Rule Verification

[P] [K] Abstractive Sentence Summarization with Attentive Recurrent Neural Networks

[P] [K] Integer Linear Programming for Discourse Parsing

[P] [K] A Diversity-Promoting Objective Function for Neural Conversation Models

[P] [K] Multi-domain Neural Network Language Generation for Spoken Dialogue Systems

[P] [K] A Long Short-Term Memory Framework for Predicting Humor in Dialogues

[P] [K] Conversational Flow in Oxford-style Debates

[P] [K] Counter-fitting Word Vectors to Linguistic Constraints

[P] [K] Grounded Semantic Role Labeling

[P] [K] Black Holes and White Rabbits: Metaphor Identification with Visual Features

[P] [K] Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning

[P] [K] Unsupervised Visual Sense Disambiguation for Verbs using Multimodal Embeddings

[P] [K] Stating the Obvious: Extracting Visual Common Sense Knowledge

[P] [K] Recurrent Neural Network Grammars

[P] [K] Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks