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Large Scale Named Entity Disambiguation Based on Wikipedia Data

The EMNLP-CoNLL Joint Conference, 2007.
Authors: Silviu Cucerzan
URL: http://research.microsoft.com/users/silviu/Papers/emnlp07.pdf
Tags: wikipedia wsd
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.
| URL | BibTeX  
@inproceedings{ieKey,
title = {Large Scale Named Entity Disambiguation Based on Wikipedia Data },
author = {Silviu Cucerzan},
journal = {The EMNLP-CoNLL Joint Conference},
month = {June},
url = {http://research.microsoft.com/users/silviu/Papers/emnlp07.pdf},
year = {2007},
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.},
tech = {Prague}, date = {2007},
keywords = {wikipedia wsd }
}