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Large-scale named entity disambiguation based on Wikipedia data (2007)
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| Venue: | In Proc. 2007 Joint Conference on EMNLP and CNLL |
| Citations: | 221 - 3 self |
BibTeX
@INPROCEEDINGS{Cucerzan07large-scalenamed,
author = {Silviu Cucerzan},
title = {Large-scale named entity disambiguation based on Wikipedia data},
booktitle = {In Proc. 2007 Joint Conference on EMNLP and CNLL},
year = {2007},
pages = {708--716}
}
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Abstract
This paper presents a large-scale system for the recognition and semantic disambiguation of named entities based on information extracted from a large encyclopedic collection and Web search results. It describes in detail the disambiguation paradigm employed and the information extraction process from Wikipedia. Through a process of maximizing the agreement between the contextual information extracted from Wikipedia and the context of a document, as well as the agreement among the category tags associated with the candidate entities, the implemented system shows high disambiguation accuracy on both news stories and Wikipedia articles. 1 Introduction and Related Work
Keyphrases
wikipedia data entity disambiguation information extraction process large-scale system implemented system related work news story web search result candidate entity disambiguation paradigm large encyclopedic collection high disambiguation accuracy category tag semantic disambiguation contextual information wikipedia article
