Various approaches to text representation for named entity disambiguation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10194746" target="_blank" >RIV/00216208:11320/13:10194746 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21240/13:00210155 RIV/61384399:31140/13:00043118

Výsledek na webu

<a href="http://www.emeraldinsight.com/journals.htm?articleid=17094595" target="_blank" >http://www.emeraldinsight.com/journals.htm?articleid=17094595</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1108/IJWIS-05-2013-0016" target="_blank" >10.1108/IJWIS-05-2013-0016</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Various approaches to text representation for named entity disambiguation

Popis výsledku v původním jazyce

Purpose - The purpose of this paper is to focus on the problem of named entity disambiguation. The paper disambiguates named entities on a very detailed level. To each entity is assigned a concrete identifier of a corresponding Wikipedia article describing the entity. Design/methodology/approach - For such a fine-grained disambiguation a correct representation of the context is crucial. The authors compare various context representations: bag of words representation, linguistic representation and structured co-occurrence representation. Models for each representation are described and evaluated. They also investigate the possibilities of multilingual named entity disambiguation. Findings - Based on this evaluation, the structured co-occurrence representation provides the best disambiguation results. It showed up that this method could be successfully applied also on other languages, not only on English. Research limitations/implications - Despite its good results the structured co-occu

Název v anglickém jazyce

Various approaches to text representation for named entity disambiguation

Popis výsledku anglicky

Purpose - The purpose of this paper is to focus on the problem of named entity disambiguation. The paper disambiguates named entities on a very detailed level. To each entity is assigned a concrete identifier of a corresponding Wikipedia article describing the entity. Design/methodology/approach - For such a fine-grained disambiguation a correct representation of the context is crucial. The authors compare various context representations: bag of words representation, linguistic representation and structured co-occurrence representation. Models for each representation are described and evaluated. They also investigate the possibilities of multilingual named entity disambiguation. Findings - Based on this evaluation, the structured co-occurrence representation provides the best disambiguation results. It showed up that this method could be successfully applied also on other languages, not only on English. Research limitations/implications - Despite its good results the structured co-occu

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Journal of Web Information Systems

ISSN

1744-0084

e-ISSN

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Svazek periodika

9

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

18

Strana od-do

242-259

Kód UT WoS článku

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EID výsledku v databázi Scopus

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