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EntityTagger
2011
Proceedings of the 20th international conference companion on World wide web - WWW '11
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We consider the problem of entity tagging: given one or more named entities from a specific domain, the goal is to automatically associate descriptive phrases, referred to as etags (entity tags), to each ...
phrases. ...
If we can automatically assign descriptive phrases with high precision to entities (such as assigning "rugged", "outdoor" and "water resistant" to Ricoh G600 Digital Camera) and augment the product catalog ...
doi:10.1145/1963192.1963203
dblp:conf/www/ChakrabartiCCX11
fatcat:t5s55tnnlfc2pfdezo2gbiw33y
Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction
[article]
2019
arXiv
pre-print
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In this paper, we consider the problem of open information extraction (OIE) for extracting entity and relation level intermediate structures from sentences in open-domain. ...
We focus on four types of valuable intermediate structures (Relation, Attribute, Description, and Concept), and propose a unified knowledge expression form, SAOKE, to express them. ...
[9] and nominal attributes in ReNoun [33, 52] , descriptive phrases for entities in EntityTagger [5] , and hypernyms in Hy-peNet [44] . ...
arXiv:1904.12535v1
fatcat:jx5hd2pfrvgjxkj7syc3uqax2m
Subjective Knowledge Acquisition and Enrichment Powered By Crowdsourcing
[article]
2017
arXiv
pre-print
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Entitytagger [5] , presented by Chakrabarti et al., automatically associate descriptive phrases, referred to as etags (entity tags), to each entity. ...
WebChild [23] presents a method for automatically constructing a large commonsense knowledge base, it contains triples that connect nouns with adjectives via fine-grained relations. ...
arXiv:1705.05720v1
fatcat:r4es3mqs5jdtjh2j32tawzlwc4