An experimental comparison of Explicit Semantic Analysis implementations for cross-language retrieval

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5723 LNCS, Issue , 2009, Pages 36-48

  Sorg, Philipp ^a   Cimiano, Philipp ^b  

^a UNIVERSITY OF KARLSRUHE   (Germany)

^b DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

CROSS-LANGUAGE RETRIEVAL; CROSS-LINGUAL; CROSSLINGUAL RETRIEVAL; DATA SETS; DEGREES OF FREEDOM; EXPERIMENTAL COMPARISON; EXPLICIT SEMANTICS; EXTREME CASE; MISMATCH PROBLEMS; SEMANTIC RELATEDNESS; SYSTEMATIC INVESTIGATIONS; WORD MODELS;

COMPUTATIONAL LINGUISTICS; INFORMATION RETRIEVAL; INFORMATION SYSTEMS; SEMANTICS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 78651260497     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-12550-8_4     Document Type: Conference Paper

References (19)

1. Richardson, R., Smeaton, A.: Using wordnet in a knowledge-based approach to information retrieval. In: Proceedings of the BCS-IRSG-Colloquium (1995)
2. Schütze, H., Pedersen, J.: A cooccurrence-based thesaurus and two applications to information retrieval. Information Processing and Management 33(3), 307-318 (1997)
3. Gurevych, I., Müller, C., Zesch, T.: What to be? - electronic career guidance based on semantic relatedness. In: Proceedings of ACL (2007)
4. Deerwester, S.C., Dumais, S.T., Landauer, T.K., Furnas, G.W., Harshman, R.A.: Indexing by latent semantic analysis. Journal of the American Society of Information Science 41(6), 391-407 (1990)
5. Gonzalo, J., Verdejo, F., Chugur, I., Cigarran, J.: Indexing with wordnet synsets can improve text retrieval. In: Proceedings of the COLING/ACL 1998 Workshop on Usage of WordNet for NLP, pp. 38-44 (1998)
6. Gabrilovich, E., Markovitch, S.: Computing semantic relatedness using wikipedia-based explicit semantic analysis. In: Proceedings of IJCAI, pp. 1606-1611 (2007)
7. Furnas, G., Landauer, T., Gomez, L., Dumais, S.: The vocabulary problem in human-system communication. Communications of the ACM 30(1), 964-971 (1987)
8. Sorg, P., Cimiano, P.: Cross-lingual information rerieval with explicit semantic analysis. In: Working Notes of the Annual CLEF Meeting (2008)
9. Potthast, M., Stein, B., Anderka, M.: A wikipedia-based multilingual retrieval model. In: Proceedings of ECIR, pp. 522-530 (2008)
10. Littman,M., Dumais, S., Landauer, T.: Automatic Cross-Language Information Retrieval using Latext Semantic Indexing. In: Cross-Language Information Retrieval, pp. 51-62. Kluwer, Dordrecht (1998)
11. Dumais, S., Letsche, T., Littman,M., Landauer, T.: Automatic cross-language retrieval using latent semantic indexing. In: Proceedings of the AAAI Symposium on Cross Language Text and Speech Retrieval (1997)
12. Müller, C., Gurevych, I.: Using wikipedia and wiktionary in domain-specific information retrieval. In: Peters, C., Deselaers, T., Ferro, N., Gonzalo, J., Jones, G.J.F., Kurimo, M., Mandl, T., Peñas, A., Petras, V. (eds.) Evaluating Systems for Multilingual and Multimodal Information Access. LNCS, vol. 5706, pp. 219-226. Springer, Heidelberg (2009)
13. Gabrilovich, E.: Feature Generation for Textual Information Retrieval using World Knowledge. PhD thesis, Israel Institute of Technology, Haifa (2006)
14. Robertson, S.E., Walker, S., Jones, S., Hancock-Beaulieu, M., Gatford, M.: Okapi at trec-3. In: Proceedings of TREC (1994)
15. Zhai, C.X., Lafferty, J.D.: Model-based feedback in the language modeling approach to information retrieval. In: Proceedings of CIKM, pp. 403-410 (2001)
16. Lee, L.: Measures of distributional similarity. In: Proceedings of ACL (1999)
17. Egozi, O., Gabrilovich, E., Markovitch, S.: Concept-based feature generation and selection for information retrieval. In: Proceedings of AAAI (2008)
18. Gabrilovich, E., Markovitch, S.: Feature generation for text categorization using world knowledge. In: Proceedings of IJCAI (2005)
19. Gupta, R., Ratinov, L.: Text categorization with knowledge transfer from heterogeneous data sources. In: Proceedings of AAAI, pp. 842-847 (2008)