UNN-WePS: Web Person Search using co-Present Names and Lexical Chains

Jeremy Ellman; Gary Emery

UNN-WePS: Web Person Search using co-Present Names and Lexical Chains

Jeremy Ellman, Gary Emery

Computer and Information Sciences Department

Research output: Contribution to conference › Paper › peer-review

Abstract

We describe a system, UNN-WePS for identifying individuals from web pages us- ing data from Semeval Task 13. Our sys- tem is based on using co-presence of per- son names to form seed clusters. These are then extended with pages that are deemed conceptually similar based on a lexical chaining analysis computed using Roget’s thesaurus. Finally, a single link hierarchical agglomerative clustering algorithm merges the enhanced clusters for individual entity recognition.

Original language	English
Publication status	Published - 23 Jun 2007
Event	SemEval 2007: 4th International Workshop on Semantic Evaluations - Prague, Czech Republic Duration: 23 Jun 2007 → …

Workshop

Workshop	SemEval 2007: 4th International Workshop on Semantic Evaluations
Period	23/06/07 → …

Cite this

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title = "UNN-WePS: Web Person Search using co-Present Names and Lexical Chains",

abstract = "We describe a system, UNN-WePS for identifying individuals from web pages us- ing data from Semeval Task 13. Our sys- tem is based on using co-presence of per- son names to form seed clusters. These are then extended with pages that are deemed conceptually similar based on a lexical chaining analysis computed using Roget{\textquoteright}s thesaurus. Finally, a single link hierarchical agglomerative clustering algorithm merges the enhanced clusters for individual entity recognition.",

author = "Jeremy Ellman and Gary Emery",

year = "2007",

month = jun,

day = "23",

language = "English",

note = "SemEval 2007: 4th International Workshop on Semantic Evaluations ; Conference date: 23-06-2007",

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TY - CONF

T1 - UNN-WePS: Web Person Search using co-Present Names and Lexical Chains

AU - Ellman, Jeremy

AU - Emery, Gary

PY - 2007/6/23

Y1 - 2007/6/23

N2 - We describe a system, UNN-WePS for identifying individuals from web pages us- ing data from Semeval Task 13. Our sys- tem is based on using co-presence of per- son names to form seed clusters. These are then extended with pages that are deemed conceptually similar based on a lexical chaining analysis computed using Roget’s thesaurus. Finally, a single link hierarchical agglomerative clustering algorithm merges the enhanced clusters for individual entity recognition.

AB - We describe a system, UNN-WePS for identifying individuals from web pages us- ing data from Semeval Task 13. Our sys- tem is based on using co-presence of per- son names to form seed clusters. These are then extended with pages that are deemed conceptually similar based on a lexical chaining analysis computed using Roget’s thesaurus. Finally, a single link hierarchical agglomerative clustering algorithm merges the enhanced clusters for individual entity recognition.

UR - http://nlp.cs.swarthmore.edu/semeval/oldindex.php

M3 - Paper

T2 - SemEval 2007: 4th International Workshop on Semantic Evaluations

Y2 - 23 June 2007

ER -

UNN-WePS: Web Person Search using co-Present Names and Lexical Chains

Abstract

Workshop

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