WTR: A Test Collection for Web Table Retrieval

Zhiyu Chen, Shuo Zhang, and Brian D. Davison.

Resource Paper (7 pages)
Official ACM published version: https://doi.org/10.1145/3404835.3463260
Local copy: PDF

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.

In Proceedings of 44th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages 2514-2520, July. DOI: 10.1145/3404835.3463260. Also available via arXiv:2105.02354.

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Last modified: 14 July 2021
Brian D. Davison