Cross-Lingual Linking of News Stories using ESA

Aggarwal, Nitish, Asooja, Kartik, Buitelaar, Paul, Polajanar, Tamara and Gracia del Río, Jorge ORCID: https://orcid.org/0000-0001-6452-7627 (2012). Cross-Lingual Linking of News Stories using ESA. En: "FIRE", December 2012, Kolkata, India.

Descripción

Título: Cross-Lingual Linking of News Stories using ESA
Autor/es:
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: FIRE
Fechas del Evento: December 2012
Lugar del Evento: Kolkata, India
Título del Libro: Proc. of CLINSS - Cross-Language Indian News Story Search
Fecha: Diciembre 2012
Materias:
ODS:
Palabras Clave Informales: Cross-lingual search, Explicit semantic analysis, News linking, Plagiarism detection
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Grupo Investigación UPM: oeg
Licencias Creative Commons: Ninguna

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Resumen

In this paper, we describe our approach for Cross-Lingual linking of Indian news stories, submitted for Cross-Lingual Indian News Story Search (CL!NSS) task at FIRE 2012. Our approach consists of two major steps, the reduction of search space by using di�erent features and ranking of the news stories according to their relatedness scores. Our approach uses Wikipedia-based Cross-Lingual Explicit Semantic Analysis (CLESA) to calculate the semantic similarity and relatedness score between two news stories in di�erent languages. We evaluate our approach on CL!NSS dataset, which consists of 50 news stories in English and 50K news stories in Hindi.

Más información

ID de Registro: 14458
Identificador DC: https://oa.upm.es/14458/
Identificador OAI: oai:oa.upm.es:14458
Depositado por: Dr Oscar Corcho
Depositado el: 13 Feb 2013 07:34
Ultima Modificación: 09 Jul 2025 09:01