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Question Answering Experiments for Finnish and French

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Accessing Multilingual Information Repositories (CLEF 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4022))

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Abstract

This paper presents a question answering (QA) system called Tikka. Tikka’s approach to QA is based on question classification, semantic annotation and answer extraction pattern matching. Tikka’s performance is evaluated by conducting experiments in the following tasks: monolingual Finnish and French and bilingual Finnish-English QA. Tikka is the first system ever reported to perform monolingual textual QA in the Finnish language. This is also the task in which its performance is best: 23 % of all questions are answered correctly. Tikka’s performance in the monolingual French task is a little inferior to its performance in the monolingual Finnish task, and when compared to the other systems evaluated with the same data in the same task, its performance is near the average. In the bilingual Finnish-English task, Tikka was the only participating system, and – as is expected – its performance was inferior to those attained in the monolingual tasks.

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References

  1. Simmons, R.F.: Answering English Questions by Computer: A Survey. Communications of the ACM 8, 53–70 (1965)

    Article  Google Scholar 

  2. Lin, J., Katz, B.: Building a Reusable Test Collection for Question Answering. Journal of the American Society for Information Science and Technology (in press, 2005)

    Google Scholar 

  3. Magnini, B., Vallin, A., Aunimo, L.: Overview of the CLEF 2005 Multilingual Question Answering Track. In: Peters, C., Gey, F.C., Gonzalo, J., Müller, H., Jones, G.J.F., Kluck, M., Magnini, B., de Rijke, M., Giampiccolo, D. (eds.) CLEF 2005. LNCS, vol. 4022, pp. 307–331. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  4. Aunimo, L., Kuuskoski, R., Makkonen, J.: Finnish as Source Language in Bilingual Question Answering. In: Peters, C., Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds.) CLEF 2004. LNCS, vol. 3491, pp. 482–493. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  5. Aunimo, L., Makkonen, J., Kuuskoski, R.: Cross-language Question Answering for Finnish. In: Hyvönen, E., Kauppinen, T., Salminen, M., Viljanen, K., Ala-Siuru, P. (eds.) Proceedings of the 11th Finnish Artificial Intelligence Conference STeP 2004, Vantaa, Finland, September 1-3. Conference Series – No 20, vol. 2, pp. 35–49. Finnish Artificial Intelligence Society (2004)

    Google Scholar 

  6. Quirk, R., Greenbaum, S., Leech, G., Svartvik, J.: A Comprehensive Grammar of the English Language. Longman, New York (1985)

    Google Scholar 

  7. Salton, G.: The SMART Retrieval System: Experiments in Automatic Document Processing. Prentice-Hall, Englewood Cliffs (1971)

    Google Scholar 

  8. Porter, M.F.: An Algorithm for Suffix Stripping. Program 14, 130–137 (1980)

    Google Scholar 

  9. Porter, M.: Snowball: A Language for Stemming Algorithms (2001) [22.8.2005], Available at http://snowball.tartarus.org/texts/introduction.html

  10. Hatcher, E., Gospodnetić, O.: Lucene in Action. Manning Publications Co. (2004)

    Google Scholar 

  11. Jones, K.S.: A Statistical Interpretation of Term Specificity and its Application in Retrieval. Journal of Documentation 28, 11–21 (1972)

    Article  Google Scholar 

  12. Volk, M., Clematide, S.: Learn - Filter - Apply - Forget. Mixed Approaches to Named Entity Recognition. In: Proceedings of the 6th International Workshop of Natural Language for Information Systems, Madrid, Spain (2001)

    Google Scholar 

  13. Bikel, D.M., Schwartz, R., Weischedel, R.M.: An Algorithm that Learns What’s in a Name. Machine Learning 34, 211–231 (1999)

    Article  MATH  Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Aunimo, L., Kuuskoski, R. (2006). Question Answering Experiments for Finnish and French. In: Peters, C., et al. Accessing Multilingual Information Repositories. CLEF 2005. Lecture Notes in Computer Science, vol 4022. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11878773_53

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  • DOI: https://doi.org/10.1007/11878773_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45697-1

  • Online ISBN: 978-3-540-45700-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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