Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases
This work addresses two important questions pertinent to Relation Extraction (RE). First, what are all possible relations that could exist between any two given entity types? Second, how do we define an unambiguous taxonomical (is-a) hierarchy among the identified relations? To address the first question, we use three resources Wikipedia Infobox, Wikidata, and DBpedia. This study focuses on relations between person, organization and location entity types. We exploit Wikidata and DBpedia in a data-driven manner, and Wikipedia Infobox templates manually to generate lists of relations. Further, to address the second question, we canonicalize, filter, and combine the identified relations from the three resources to construct a taxonomical hierarchy. This hierarchy contains 623 canonical relations with highest contribution from Wikipedia Infobox followed by DBpedia and Wikidata. The generated relation list subsumes an average of 85% of relations from RE datasets when entity types are restricted.
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Akshay Parekh (edit)
Ashish Anand (edit)
Amit Awekar (edit)
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09/15/19 06:02PM
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WikiResearch: "Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases" - a method using data from #Wikipedia, #Wikidata, and #DBpedia to define a taxonomy of all possible relations that could exist between two entity types. (Parekh et al, 2019) https://t.co/sPLF3hgvJR https://t.co/7pQyTHOlNT
arxiv_cscl: Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases https://t.co/yjGHHczJj8
RexDouglass: RT @arxiv_cscl: Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases https://t.co/yjGHHczJj8
arxiv_cscl: Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases https://t.co/yjGHHczJj8
arxiv_cscl: Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases https://t.co/yjGHHcRkaG
arxivml: "Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases", Akshay Parekh, Ashish Anand, Amit… https://t.co/uuw6KiMp9I
arxiv_cscl: Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases https://t.co/yjGHHczJj8
anand_ashish: How many relations among Person, Location and Organisations exists?How to estimate the number of such relations in a data driven manner?What relation exists among these relations?An attempt to answer the above questions with @babaakki25 @amitawekar in https://t.co/a7j8EfrmuA
RexDouglass: Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases https://t.co/VeQfQHzZd9
RexDouglass: RT @arxiv_cscl: Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases https://t.co/yjGHHczJj8
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