Context Aware Named Entity Disambiguation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10132023" target="_blank" >RIV/00216208:11320/12:10132023 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6118963" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6118963</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/PDCAT.2011.73" target="_blank" >10.1109/PDCAT.2011.73</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Context Aware Named Entity Disambiguation

Popis výsledku v původním jazyce

Recently, named entity recognition tools tend to disambiguate recognized named entities on a very detailed level. Instead of elementary types (e.g. Person or Location), they assign concrete identifiers, trying to distinguish even different entities having same name and type (e.g. cities with the same name in different countries). We introduce a novel method for this kind of named entity disambiguation exploiting structural dependencies of recognized entities. We analyse the co-occurrence of disambiguated entities in the backing knowledge base and use this information to improve results of existing named entity disambiguation approaches. A model for co-occurrence representation is proposed and evaluated based on a dataset that we mine from Wikipedia.

Název v anglickém jazyce

Context Aware Named Entity Disambiguation

Popis výsledku anglicky

Recently, named entity recognition tools tend to disambiguate recognized named entities on a very detailed level. Instead of elementary types (e.g. Person or Location), they assign concrete identifiers, trying to distinguish even different entities having same name and type (e.g. cities with the same name in different countries). We introduce a novel method for this kind of named entity disambiguation exploiting structural dependencies of recognized entities. We analyse the co-occurrence of disambiguated entities in the backing knowledge base and use this information to improve results of existing named entity disambiguation approaches. A model for co-occurrence representation is proposed and evaluated based on a dataset that we mine from Wikipedia.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GAP202%2F10%2F0761" target="_blank" >GAP202/10/0761: Semantizace webu</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of 2012 IEEE/WIC/ACM International Conference on Web Intelligence

ISBN

978-1-4577-1807-6

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

56-61

Název nakladatele

IEEE Computer Society

Místo vydání

Los Alamitos

Místo konání akce

Macau

Datum konání akce

4. 12. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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