Abstract
We study a constrained retrieval setting in which either a single qualitative answer is provided as a response to a user-query or none. Given a user-query and the "best" answer that was retrieved from the underlying search engine, we wish to determine whether or not to accept it. To address this challenge, we propose an answer quality determination approach which leverages a novel set of answer-level query performance prediction (QPP) features, derived from a couple of recent discriminative QPP frameworks. Using various search benchmarks with both ad-hoc retrieval and nonfactoid question answering (QA) tasks, we demonstrate the effectiveness of our approach.
| Original language | English |
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| Title of host publication | ICTIR 2019 - Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 43-46 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781450368810 |
| DOIs | |
| State | Published - 23 Sep 2019 |
| Externally published | Yes |
| Event | 9th ACM SIGIR International Conference on the Theory of Information Retrieval, ICTIR 2019 - Santa Clara, United States Duration: 2 Oct 2019 → 5 Oct 2019 |
Publication series
| Name | ICTIR 2019 - Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval |
|---|
Conference
| Conference | 9th ACM SIGIR International Conference on the Theory of Information Retrieval, ICTIR 2019 |
|---|---|
| Country/Territory | United States |
| City | Santa Clara |
| Period | 2/10/19 → 5/10/19 |
Bibliographical note
Publisher Copyright:© 2019 Association for Computing Machinery.