A Non-Factoid Question-Answering Taxonomy-Reference-Cited by-同舟云学术

A Non-Factoid Question-Answering Taxonomy

Published:2022-07-06 Issue: Volume: Page:
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Container-title:Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Bolotova Valeriia¹,Blinov Vladislav²,Scholer Falk¹,Croft W. Bruce³,Sanderson Mark¹

Affiliation:

1. RMIT University, Melbourne, VIC, Australia

2. Ural Federal University, Melbourne, VIC, Australia

3. University of Massachusetts Amherst, Amherst, MA, USA

Funder

Australian Research Council Project

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3477495.3531926

Reference45 articles.

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3. Johannes Bjerva , Nikita Bhutani , Behzad Golshan , Wang-Chiew Tan , and Isabelle Augenstein . [n.d.]. SubjQA: A Dataset for Subjectivity and Review Comprehension. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020--11) . Association for Computational Linguistics, 5480--5494. https://doi.org/10. 1865 3/v1/2020.emnlp-main.442 Johannes Bjerva, Nikita Bhutani, Behzad Golshan, Wang-Chiew Tan, and Isabelle Augenstein. [n.d.]. SubjQA: A Dataset for Subjectivity and Review Comprehension. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020--11). Association for Computational Linguistics, 5480--5494. https://doi.org/10.18653/v1/2020.emnlp-main.442

4. A taxonomy of web search

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