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.
|Title of host publication||The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020|
|Publisher||Association for Computing Machinery|
|Number of pages||2|
|State||Published - 20 Apr 2020|
|Event||29th International World Wide Web Conference, WWW 2020 - Taipei, Taiwan, Province of China|
Duration: 20 Apr 2020 → 24 Apr 2020
|Name||The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020|
|Conference||29th International World Wide Web Conference, WWW 2020|
|Country/Territory||Taiwan, Province of China|
|Period||20/04/20 → 24/04/20|
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