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Considering the widespread use of mobile and voice search, answer passage retrieval for non-factoid questions plays a critical role in modern information retrieval systems.
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Evaluating and Predicting Answer Quality in Community QA. In SIGIR ’10
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WikiQA: A Challenge Dataset for Open-Domain Question Answering. ACL ’15
Y. Yang, S. W. Yih, and C. Meek. 2015 · 2015
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End to End Long Short Term Memory Networks for Non-Factoid Question Answering. In ICTIR ’16
D. Cohen and W. B. Croft. 2016 · 2016
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T. Nguyen, M. Rosenberg, X. Song, J. Gao, S. Tiwary, R. Majumder, and L. Deng. 2016 · 2016
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SQuAD: 100, 000+ Questions for Machine Comprehension of Text
P. Rajpurkar, J. Zhang, K. Lopyrev, and P. Liang. 2016 · 2016
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SemEval-2017 Task 3: Community Question Answering. In SemEval ’17
P. Nakov, D. Hoogeveen, L. Màrquez, A. Moschitti, H. Mubarak, T. Baldwin, and K. Verspoor. 2017 · 2017
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A Hybrid Embedding Approach to Noisy Answer Passage Retrieval. In ECIR ’18
D. Cohen and W. B. Croft. 2018 · 2018
Cited alongside, same era.
WikiPassageQA: A Benchmark Collection for Research on Non-factoid Answer Passage Retrieval. In SIGIR ’18
D. Cohen, L. Yang, and W. B. Croft. 2018 · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova. 2018 · 2018
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Document Summarization for Answering Non-Factoid Queries
E. Yulianti, R. Chen, F. Scholer, W. B. Croft, and M. Sanderson. 2018 · 2018
Later among the works it cites.
R. Nogueira and K. Cho. 2019 · 2019
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Investigating the Successes and Failures of BERT for Passage Re-Ranking
H. Padigela, H. Zamani, and W. B. Croft. 2019 · 2019
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A Deep Relevance Matching Model for Ad-hoc Retrieval. In CIKM ’16
J. Guo, Y. Fan, Q. Ai, and W. B. Croft
Cited in the paper.
New Collection Announcement: Focused Retrieval Over the Web. In SIGIR ’16
I. Habernal, M. Sukhareva, F. Raiber, A. Shtok, O. Kurland, H. Ronen, J. Bar-Ilan, and I. Gurevych
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aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model. In CIKM ’16
L. Yang, Q. Ai, J. Guo, and W. B. Croft. 2016a
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Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval. In ECIR ’16
L. Yang, Q. Ai, D. Spina, R.-C. Chen, L. Pang, W. B. Croft, J. Guo, and F. Scholer. 2016b
Cited in the paper.
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