Using Explicit Semantic Analysis for Cross-Lingual Link Discovery

Knoth, Petr; Zilka, Lukas and Zdrahal, Zdenek (2011). Using Explicit Semantic Analysis for Cross-Lingual Link Discovery. In: 5th International Workshop on Cross Lingual Information Access: Computational Linguistics and the Information Need of Multilingual Societies (CLIA) at The 5th International Joint Conference on Natural Language Processing (IJC-NLP 2011), 08-13 Nov 2011, Chiang Mai, Thailand.

URL: http://www.cfilt.iitb.ac.in/~clia2011/

Abstract

This paper explores how to automatically generate cross language links between resources in large document collections. The paper presents new methods for Cross Lingual Link Discovery(CLLD) based on Explicit Semantic Analysis (ESA). The methods are applicable to any multilingual document collection. In this report, we present their comparative study on the Wikipedia corpus and provide new insights into the evaluation of link discovery systems. In particular, we measure the agreement of human annotators in linking articles in different language versions of Wikipedia, and compare it to the results achieved by the presented methods.

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• Item ORO ID
• 29584
• Item Type
• Conference or Workshop Item
• Keywords
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• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
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• Centre for Research in Computing (CRC)
  Big Scientific Data and Text Analytics Group (BSDTAG)
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• Kay Dave