Language-Independent Set Expansion of Named Entities using the Web

Language-Independent Set Expansion of Named Entities using the Web

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by Richard C. Wang , William W. Cohen

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18 - 4 self

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@MISC{Wang_language-independentset,
    author = {Richard C. Wang and William W. Cohen},
    title = {Language-Independent Set Expansion of Named Entities using the Web},
    year = {}
}

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Abstract

Set expansion refers to expanding a given partial set of objects into a more complete set. A well-known example system that does set expansion using the web is Google Sets. In this paper, we propose a novel method for expanding sets of named entities. The approach can be applied to semi-structured documents written in any markup language and in any human language. We present experimental results on 36 benchmark sets in three languages, showing that our system is superior to Google Sets in terms of mean average precision. 1.

Citations

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59	Biomedical Named Entity Recognition Using Conditional Random Fields and Rich Feature Sets - Settles
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25	Bayesian Sets - Ghahramani, Heller - 2005
21	Question Answering Using Constraint Satisfaction: QA-ByDossier-With-Constraints - Prager, Chu-Carroll, et al.
16	Automatically extracting features for concept learning from the web - Cohen - 2000
10	A context pattern induction method for named entity extraction - Talukdar, Brants, et al. - 2006
1	Jaakkola Bayesian Sets SEAL - Saul, T