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ORCID: https://orcid.org/0000-0001-6452-7627
(2012).
Cross-Lingual Linking of News Stories using ESA.
En: "FIRE", December 2012, Kolkata, India.
| Título: | Cross-Lingual Linking of News Stories using ESA |
|---|---|
| Autor/es: |
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| 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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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.
| 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 |
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