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Question Answering

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Papers

Neural Module Networks CVPR 2016
The Open Framework for Developing Knowledge Base And Question Answering System COLING 2016
Natural Language Processing for Intelligent Access to Scientific Information COLING 2016
Yin and Yang: Balancing and Answering Binary Visual Questions CVPR 2016
Generating Questions and Multiple-Choice Answers using Semantic Analysis of Texts COLING 2016
FastHybrid: A Hybrid Model for Efficient Answer Selection COLING 2016
Hierarchical Memory Networks for Answer Selection on Unknown Words COLING 2016
Constraint-Based Question Answering with Knowledge Graph COLING 2016
Neural Attention for Learning to Rank Questions in Community Question Answering COLING 2016
Simple Question Answering by Attentive Convolutional Neural Network COLING 2016
Incorporating Label Dependency for Answer Quality Tagging in Community Question Answering via CNN-LSTM-CRF COLING 2016
Non-sentential Question Resolution using Sequence to Sequence Learning COLING 2016
WISDOM X, DISAANA and D-SUMM: Large-scale NLP Systems for Analyzing Textual Big Data COLING 2016
Hand in Glove: Deep Feature Fusion Network Architectures for Answer Quality Prediction in Community Question Answering COLING 2016
What’s in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams COLING 2016
Where to Look: Focus Regions for Visual Question Answering CVPR 2016
Answer-Type Prediction for Visual Question Answering CVPR 2016
Visual7W: Grounded Question Answering in Images CVPR 2016
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing ICML 2016
MovieQA: Understanding Stories in Movies Through Question-Answering CVPR 2016
Dynamic Memory Networks for Visual and Textual Question Answering ICML 2016
Exploring Models and Data for Image Question Answering NIPS 2015
Teaching Machines to Read and Comprehend NIPS 2015
VQA: Visual Question Answering ICCV 2015
End-To-End Memory Networks NIPS 2015