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Furthermore, different datasets may represent the same information in distinct forms and under different terms (e.g., different data source may use different names to refer to the same person). In such cases, it is difficult to formulate a query that precisely retrieves information relevant to an entity. Current methods for information enrichment mainly rely on lengthy and resource-intensive manual effort to formulate queries to discover relevant information. However, in increasingly many settings, it is important for users to get initial answers quickly and without substantial investment in resources (such as human attention). We propose a progressive approach to discovering entity-relevant information from external sources with minimal expert intervention. It leverages end users' feedback to progressively learn how to retrieve information relevant to each entity in a dataset from external data sources. Our empirical evaluation shows that our approach learns accurate strategies to deliver relevant information quickly.<\/jats:p>","DOI":"10.14778\/3611479.3611535","type":"journal-article","created":{"date-parts":[[2023,8,25]],"date-time":"2023-08-25T02:08:08Z","timestamp":1692929288000},"page":"3404-3417","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Effective Entity Augmentation by Querying External Data Sources"],"prefix":"10.14778","volume":"16","author":[{"given":"Christopher","family":"Buss","sequence":"first","affiliation":[{"name":"Oregon State University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jasmin","family":"Mousavi","sequence":"additional","affiliation":[{"name":"Oregon State University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mikhail","family":"Tokarev","sequence":"additional","affiliation":[{"name":"Oregon State University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arash","family":"Termehchy","sequence":"additional","affiliation":[{"name":"Oregon State University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Maier","sequence":"additional","affiliation":[{"name":"Portland State University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"Lee","sequence":"additional","affiliation":[{"name":"Oregon State University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,8,24]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/PDIS.1996.568672"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrd1468"},{"key":"e_1_2_1_3_1","series-title":"SIAM journal on computing 32, 1","volume-title":"The nonstochastic multiarmed bandit problem","author":"Auer Peter","year":"2002","unstructured":"Peter Auer , Nicolo Cesa-Bianchi , Yoav Freund , and Robert E Schapire . 2002. 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