Take a look at the new version of this page: [ beta version ]. Tell us what you think.

ABSTRACT

Among the retrieval models that have been proposed in the last years, the ESA model of Gabrilovich and Markovitch received much attention. The authors report on a significant improvement in the retrieval performance, which is explained with the semantic concepts introduced by the document collection underlying ESA. Their explanation appears plausible but our analysis shows that the connections are more involved and that the "concept hypothesis" does not hold. In our contribution we analyze several properties that in fact affect the retrieval performance. Moreover, we introduce a formalization of ESA, which reveals its close connection to existing retrieval models.

REFERENCES

• 1: M. Chang, L. Ratinov, D. Roth, and V. Srikumar. Importance of Semantic Representation: Dataless Classification. In Proc. of AAAI'08.
• 2: O. Egozi, E. Gabrilovich, and S. Markovitch. Concept-Based Feature Generation and Selection for Information Retrieval. In Proc. of AAAI'08.
• 3: E. Gabrilovich and S. Markovitch. Computing Semantic Relatedness of Words and Texts in Wikipedia-derived Semantic Space. Technical Report, Technion, Israel, 2006.
• 4: E. Gabrilovich and S. Markovitch. Computing Semantic Relatedness using Wikipedia-based Explicit Semantic Analysis. In Proc. of IJCAI'07.
• 5: R. Gupta and L. Ratinov. Text Categorization with Knowledge Transfer from Heterogeneous Data Sources. In Proc. of AAAI'08.
• 6: I. Gurevych, C. Müller, and T. Zesch.What to be? -- Electronic Career Guidance Based on Semantic Relatedness. In Proc. of ACL'07.
• 7: M. Lee, B. Pincombe, and M. Welsh. An Empirical Evaluation of Models of Text Document Similarity. In Proc. of CogSci'05.
• 8: J. P. Nolan. Stable Distributions-Models for Heavy Tailed Data. http://academic2.american.edu/jpnolan/stable/stable.html, 2005.
• 9: M. Potthast, B. Stein, and M. Anderka. A Wikipedia-Based Multilingual Retrieval Model. In Proc. of ECIR'08.
• 10: P. Sorg, P. Cimiano. Cross-lingual Information Retrieval with Explicit Semantic Analysis. In Working Notes for CLEF'08 Workshop.
• 11: S. K. M. Wong , Wojciech Ziarko , Patrick C. N. Wong, Generalized vector spaces model in information retrieval, Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval, p.18-25, June 05-07, 1985, Montreal, Quebec, Canada [doi>10.1145/253495.253506]
• 12: Yiming Yang , Jaime G. Carbonell , Ralf D. Brown , Robert E. Frederking, Translingual information retrieval: learning from bilingual corpora, Artificial Intelligence, v.103 n.1-2, p.323-345, Aug. 1998 [doi>10.1016/S0004-3702(98)00063-0]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Retrieval models

Additional Classification:
  H. Information Systems
  H.1 MODELS AND PRINCIPLES
      H.1.1 Systems and Information Theory
          Subjects: General systems theory

General Terms:
Performance, Theory

Keywords:
explicit semantic analysis, retrieval models