Spotting Facts in the Wild
نویسندگان
چکیده
Knowledge bases have become key assets for many tasks related to search and analytics. Retrieving textual evidence for the facts about an entity – in news, social media, or other web contents – is important for assessing the truth of statements, gathering statistics about the saliency of facts, and as a basis for summarizing documents or entire corpora. This paper addresses the problem of spotting occurrences of known facts in textual documents, reporting the presence or absence of facts. Our solution is based on rich dictionaries of paraphrases for entity names and binary relations, and uses heuristic rules for high precision and recall. We evaluated our method by finding facts from Freebase in a corpus of stylistically diverse biographies from the web.
منابع مشابه
Spotting Knowledge Base Facts in Web Texts
Knowledge bases (KB) such as DBpedia, YAGO and Freebase have been constructed by harvesting facts from high-quality data sources and incorporating community contributions. Accurately detecting occurrences of these KB facts in complementary sources (sources other than where they were extracted from) is crucial for fact validity assessments and deriving occurrence statistics. In this paper we con...
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