Ranking Documents by Answer-Passage Quality

Yulianti, E, Chen, R, Scholer, F, Croft, B and Sanderson, M 2018, 'Ranking Documents by Answer-Passage Quality', in Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), Ann Arbor, United States, 8 - 12 July 2018, pp. 335-344.

Document type: Conference Paper
Collection: Conference Papers

Title Ranking Documents by Answer-Passage Quality
Author(s) Yulianti, E
Chen, R
Scholer, F
Croft, B
Sanderson, M
Year 2018
Conference name SIGIR 2018
Conference location Ann Arbor, United States
Conference dates 8 - 12 July 2018
Proceedings title Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018)
Publisher Association for Computing Machinery
Place of publication New York, United States
Start page 335
End page 344
Total pages 10
Abstract Evidence derived from passages that closely represent likely answers to a posed query can be useful input to the ranking process. Based on a novel use of Community Question Answering data, we present an approach for the creation of such passages. A general framework for extracting answer passages and estimating their quality is proposed, and this evidence is integrated into ranking models. Our experiments on two web collections show that such quality estimates from answer passages provide a strong indication of document relevance and compare favorably to previous passage-based methods. Combining such evidence can significantly improve over a set of state-of-the-art ranking models, including Quality-Biased Ranking, External Expansion, and a combination of both. A final ranking model that incorporates all quality estimates achieves further improvements on both collections.
Subjects Information Retrieval and Web Search
DOI - identifier 10.1145/3209978.3210028
Copyright notice © 2018 Association for Computing Machinery.
ISBN 9781450356572
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