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      WTR: A Test Collection for Web Table Retrieval

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          Abstract

          We describe the development, characteristics and availability of a test collection for the task of Web table retrieval, which uses a large-scale Web Table Corpora extracted from the Common Crawl. Since a Web table usually has rich context information such as the page title and surrounding paragraphs, we not only provide relevance judgments of query-table pairs, but also the relevance judgments of query-table context pairs with respect to a query, which are ignored by previous test collections. To facilitate future research with this benchmark, we provide details about how the dataset is pre-processed and also baseline results from both traditional and recently proposed table retrieval methods. Our experimental results show that proper usage of context labels can benefit previous table retrieval methods.

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          Author and article information

          Journal
          05 May 2021
          Article
          10.1145/3404835.3463260
          2105.02354
          ddbd501a-0d9d-4d4d-9d3a-4cac828feb9b

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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          Custom metadata
          Accepted as a resource paper in SIGIR 2021
          cs.IR

          Information & Library science
          Information & Library science

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