Cross-Lingual Linking of News Stories using ESA

Aggarwal, Nitish and Asooja, Kartik and Buitelaar, Paul and Polajanar, Tamara and Gracia, Jorge (2012). Cross-Lingual Linking of News Stories using ESA. In: "FIRE", December 2012, Kolkata, India.

Description

Title: Cross-Lingual Linking of News Stories using ESA
Author/s:
  • Aggarwal, Nitish
  • Asooja, Kartik
  • Buitelaar, Paul
  • Polajanar, Tamara
  • Gracia, Jorge
Item Type: Presentation at Congress or Conference (Article)
Event Title: FIRE
Event Dates: December 2012
Event Location: Kolkata, India
Title of Book: Proc. of CLINSS - Cross-Language Indian News Story Search
Date: December 2012
Subjects:
Freetext Keywords: Cross-lingual search, Explicit semantic analysis, News linking, Plagiarism detection
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
UPM's Research Group: oeg
Creative Commons Licenses: None

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Abstract

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.

More information

Item ID: 14458
DC Identifier: http://oa.upm.es/14458/
OAI Identifier: oai:oa.upm.es:14458
Deposited by: Dr Oscar Corcho
Deposited on: 13 Feb 2013 07:34
Last Modified: 21 Apr 2016 14:09
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