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Question Answering

Knowledge Base Question Answering

Answer Selection

Note: For Answer Selection, sequence length is an important parameter to be tuned.

paper authors year TrecQA (TRAIN-ALL): MAP TrecQA (TRAIN-ALL): MRR TrecQA (clean): MAP TrecQA (clean): MRR TrecQA (TRAIN): MAP TrecQA (TRAIN): MRR WikiQA: MAP WikiQA: MRR InsuranceQA-test1: P@1 InsuranceQA-test2: P@1 SemEval-cQA: MAP SemEval-cQA: MRR code
A Long Short-Term Memory Model for Answer Sentence Selection in Question Answering Di Wang and Eric Nyberg 2015 0.7134 0.7913
Learning to rank short text pairs with convolutional deep neural networks Aliaksei Severyn 2015 0.7459 0.8078 0.7329 0.7962
Wikiqa:Achallenge dataset for open-domain question answering Yi Yang 2015 0.652 0.6652
Abcnn: Attention-based convolutional neural network for modeling sentence pairs Wenpeng Yin, Hinrich Sch¨ utze 2016 0.6921 0.7108 https://github.com/yinwenpeng/Answer_Selection
aNMM : Ranking Short Answer Texts with Attention-Based Neural Matching Model Liu Yang1 Qingyao Ai1 Jiafeng Guo2 W. Bruce Croft 2016 0.7495 0.8109 0.7417 0.8102
Attentive pooling networks Cicero dos Santos 2016 0.753 0.8511 0.6886 0.6957 0.717 0.664
Convolutional Neural Networks vs . Convolution Kernels : Feature Engineering for Answer Sentence Reranking Kateryna Tymoshenko† and Daniele Bonadiman† and Alessandro Moschitti 2016 0.7518 0.8553 0.7417 0.7588
Employing External Rich Knowledge for Machine Comprehension BingningWang, Shangmin Guo, Kang Liu, Shizhu He, Jun Zhao 2016 0.6936 0.7094
Improved Representation Learning for Question Answer Matching Ming Tan, Cicero dos Santos, Bing Xiang & Bowen Zhou 2016 0.753 0.83 0.69 0.648
Inner attention based recurrent neural networks for answer selection BingningWang, Kang Liu, Jun Zhao 2016 0.7369 0.8208 0.7341 0.7418 0.7011 0.6514
LSTM-based Deep Learning Models for non-factoid answer selection Ming Tan, Cicero dos Santos, Bing Xiang & Bowen Zhou 2016 0.7279 0.824 0.681 0.633
Modeling relational information in question-answer pairs with convolutional neural networks Aliaksei Severyn 2016 0.7654 0.8186 0.7325 0.8018 0.6951 0.7107
Neural variational inference for text processing Yishu Miao 2016 0.6886 0.7069
Noise-contrastive estimation for answer selection with deep neural networks Jinfeng Rao1 , Hua He1 , and Jimmy Lin 2016 0.78 0.834 0.801 0.877 0.709 0.723 https://github.com/Jeffyrao/pairwise-neural-network
Pairwise word interaction modeling with deep neural networks for semantic similarity measurement Hua He1 and Jimmy Lin 2016 0.7588 0.8219 0.709 0.7234
Sentence similarity learning by lexical decomposition and composition ZhiguoWang and Haitao Mi and Abraham Ittycheriah 2016 0.7058 0.7226
A compare aggregate model for matching text sequences ShuohangWang 2017 0.7433 0.7545 0.756 0.734 https://github.com/shuohangwang/SeqMatchSeq
A compare aggregate model with dynamic-clip attention for answer selection Weijie Bian, Si Li, Zhao Yang, Guang Chen, Zhiqing Lin 2017 0.821 0.899 0.754 0.764 https://github.com/wjbianjason/Dynamic-Clip-Attention
A Hybrid Framework for Text Modeling with Convolutional RNN ChenglongWang, Feijun Jiang, Hongxia Yang 2017 0.7427 0.7504 0.714 0.683
Bilateral multi-perspective matching for natural language sentences ZhiguoWang,Wael Hamza, Radu Florian 2017 0.802 0.875 0.718 0.731 https://github.com/zhiguowang/BiMPM
Enhancing Recurrent Neural Networks with Positional Attention for Question Answering Qin Chen1, Qinmin Hu1, Jimmy Xiangji Huang2, Liang He1,3 andWeijie An 2017 0.7814 0.8513 0.7212 0.7312
Inter-weighted alignment network for sentence pair modeling Gehui Shen Yunlun Yang Zhi-Hong Deng 2017 0.822 0.889 0.733 0.75
Learning to Rank Question Answer Pairs with Holographic Dual LSTM Architecture Yi Tay1, Luu Anh Tuan2, and Siu Cheung Hui3 2017 0.7499 0.8153 0.752 0.8146
On the Benefit of Incorporating External Features in a Neural Architecture for Answer Sentence Selection Ruey-Cheng Chen, Evi Yulianti, Mark Sanderson,W. Bruce Croſt 2017 0.782 0.837 0.701 0.718
Ranking Kernels for Structures and Embeddings : A Hybrid Preference and Classification Model Kateryna Tymoshenko† and Daniele Bonadiman† and Alessandro Moschitti 2017 0.7219 0.7408 0.771 0.8345 https://github.com/iKernels/RelTextRank
A Multi-View Fusion Neural Network for Answer Selection Lei Sha,∗ Xiaodong Zhang,∗ Feng Qian, Baobao Chang, Zhifang Sui 2018 0.7462 0.7576 0.8005 0.8718
CA-RNN : Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity Qin Chen,1 Qinmin Hu,1 Jimmy Xiangji Huang,2 Liang He 2018 0.8227 0.8886 0.7358 0.745
CAN : Enhancing Sentence Similarity Modeling with Collaborative and Adversarial Network Qin Chen1, Qinmin Hu, Jimmy Xiangji Huang3 and Liang He 2018 0.841 0.9168 0.7303 0.7431
Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences Yi Tay1, Luu Anh Tuan2, and Siu Cheung Hui3 2018 0.854 0.935
Context-Aware Answer Sentence Selection With Hierarchical Gated Recurrent Neural Networks Chuanqi Tan , FuruWei, Qingyu Zhou, Nan Yang, Bowen Du ,Weifeng Lv, and Ming Zhou 2018 0.7638 0.7825
Cross Temporal Recurrent Networks for Ranking Question Answer Pairs Yi Tay1, Luu Anh Tuan2, and Siu Cheung Hui3 2018 0.7712 0.8384 0.7582 0.8233
End-to-End Quantum-like Language Models with Application to Question Answering Peng Zhang1,∗, Jiabin Niu1, Zhan Su1, BenyouWang2, Liqun Ma3, Dawei Song 2018 0.7589 0.8254 0.6496 0.6594
Hermitian Co-Attention Networks for Text Matching in Asymmetrical Domains Yi Tay1, Anh Tuan Luu2, Siu Cheung Hui 2018 0.784 0.895 0.743 0.756
Hyperbolic representation learning for fast and efficient neural question answering Yi Tay1, Luu Anh Tuan2, and Siu Cheung Hui3 2018 0.77 0.825 0.784 0.865 0.712 0.727 0.795 null https://github.com/vanzytay/WSDM2018_HyperQA
Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge Yang Deng1, Ying Shen1,∗, Min Yang2, Yaliang Li3, Nan Du3,Wei Fan3, Kai Lei1 2018 0.797 0.85
Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs Ying Shen1, Yang Deng1, Min Yang2, Yaliang Li3, Nan Du3,Wei Fan3, Kai Lei 2018 0.7921 0.8444 0.8038 0.8846 0.7323 0.7494
Multihop Attention Networks for Question Answer Matching Nam Khanh Tran, Claudia Niederée 2018 0.813 0.893 0.722 0.738 0.705 0.669 https://github.com/namkhanhtran/nn4nqa
Recurrently Controlled Recurrent Networks Yi Tay1, Luu Anh Tuan2, and Siu Cheung Hui3 2018 0.779 0.882 0.724 0.737 https://github.com/vanzytay/NIPS2018_RCRN
Self-Training for Jointly Learning to Ask and Answer Questions Mrinmaya Sachan 2018 0.798 0.854 0.754 0.753
Semantic Linking in Convolutional Neural Networks for Answer Sentence Selection Massimo Nicosia∗ and Alessandro Moschitti† 2018 0.7793 0.8489 0.7224 0.7391