Deep Learning for Question Answering

This posting presents recent publications related to Deep Learning for Question Answering. Question Answering is described as “a computer science discipline within the fields of information retrieval and natural language processing (NLP), which is concerned with building systems that automatically answer questions posed by humans in a natural language”. I’ll also publish postings about Deep Learning for Information Retrieval and Learning to Rank today.

Best regards,
Amund Tveit

Year  Title Author
2016   Skipping Word: A Character-Sequential Representation based Framework for Question Answering  L Meng, Y Li, M Liu, P Shu
2016   Semantic computation in geography question answering  S Zhao, Y Zheng, C Zhu, T Zhao, S Li
2016   Open-ended visual question answering  I Masuda Mora
2016   Creating Causal Embeddings for Question Answering with Minimal Supervision  R Sharp, M Surdeanu, P Jansen, P Clark, M Hammond
2016   Deep Feature Fusion Network for Answer Quality Prediction in Community Question Answering  SP Suggu, KN Goutham, MK Chinnakotla
2016   ECNU at SemEval-2016 Task 3: Exploring traditional method and deep learning method for question retrieval and answer ranking in community question answering  G Wu, M Lan
2016   Ask Your Neurons: A Deep Learning Approach to Visual Question Answering  M Malinowski, M Rohrbach, M Fritz
2016   Revisiting Visual Question Answering Baselines  A Jabri, A Joulin, L van der Maaten
2016   End to End Long Short Term Memory Networks for Non-Factoid Question Answering  D Cohen, WB Croft
2016   Question Answering on Linked Data: Challenges and Future Directions  S Shekarpour, D Lukovnikov, AJ Kumar, K Endris
2016   Extracting Medical Knowledge from Crowdsourced Question Answering Website  Y Li, C Liu, N Du, W Fan, Q Li, J Gao, C Zhang, H Wu
2015   Building a Large-scale Multimodal Knowledge Base for Visual Question Answering  Y Zhu, C Zhang, C Ré, L Fei
2015   Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering  X Zhou, B Hu, Q Chen, B Tang, X Wang
2015   Empirical Study on Deep Learning Models for Question Answering  Y Yu, W Zhang, CW Hang, B Zhou
2015   Simple Baseline for Visual Question Answering  B Zhou, Y Tian, S Sukhbaatar, A Szlam, R Fergus
2015   Chess Q&A: Question Answering on Chess Games  V Cirik, LP Morency, E Hovy
2015   Predicting the Quality of User-Generated Answers Using Co-Training in Community-based Question Answering Portals  B Liu, J Feng, M Liu, H Hu, X Wang
2015   Open Domain Question Answering via Semantic Enrichment  H Sun, H Ma, W Yih, CT Tsai, J Liu, MW Chang
2015   Visual Question Answering using Deep Learning  S Agrawal, A Mukherjee
2015   Learning Semantic Representation with Neural Networks for Community Question Answering Retrieval  G Zhou, Y Zhou, T He, W Wu
2015   WIKIQA: A Challenge Dataset for Open-Domain Question Answering  Y Yang, W Yih, C Meek

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