Abstract
We propose a novel relevance model for table-retrieval using table columns ("projections") as pseudo-relevance feedback. To demonstrate the merits of our proposed approach, we re-rank tables that were initially retrieved from a Wikipedia corpus by state-of-the-art table retrieval methods. Overall, our proposed projection-based relevance model (PTRM) results in significant performance gains.
Original language | English |
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Title of host publication | The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020 |
Publisher | Association for Computing Machinery |
Pages | 28-29 |
Number of pages | 2 |
ISBN (Electronic) | 9781450370240 |
DOIs | |
State | Published - 20 Apr 2020 |
Externally published | Yes |
Event | 29th International World Wide Web Conference, WWW 2020 - Taipei, Taiwan, Province of China Duration: 20 Apr 2020 → 24 Apr 2020 |
Publication series
Name | The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020 |
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Conference
Conference | 29th International World Wide Web Conference, WWW 2020 |
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Country/Territory | Taiwan, Province of China |
City | Taipei |
Period | 20/04/20 → 24/04/20 |
Bibliographical note
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