<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Conference Paper</dc:product_type><dc:title>WTR: A Test Collection for Web Table Retrieval</dc:title><dc:creator>Chen, Zhiyu; Zhang, Shuo; Davison, Brian D.</dc:creator><dc:corporate_author/><dc:editor>null</dc:editor><dc:description>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.</dc:description><dc:publisher/><dc:date>2021-07-11</dc:date><dc:nsf_par_id>10279625</dc:nsf_par_id><dc:journal_name>Proceedings of 44th International ACM SIGIR Conference on Research and Development in Information Retrieval</dc:journal_name><dc:journal_volume/><dc:journal_issue/><dc:page_range_or_elocation>2514 to 2520</dc:page_range_or_elocation><dc:issn/><dc:isbn/><dc:doi>https://doi.org/10.1145/3404835.3463260</dc:doi><dcq:identifierAwardId>1816325</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>