RACAI’s Question Answering System at QA@CLEF2007

  • Dan Tufiş
  • Dan Ştefănescu
  • Radu Ion
  • Alexandru Ceauşu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5152)

Abstract

We present a pattern-based question answering system for Romanian that participated in the Romanian monolingual task of the QA@CLEF 2007 track. We aim to prove that working with a good Boolean searching engine and using question type driven answer extraction heuristics and structural matching between the linkage representations of the question and candidate sentences, one can achieve acceptable results (30% overall accuracy).

Keywords

question answering tokenization tagging lemmatization indexing and retrieval Lucene answer extraction query generation 

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References

  1. 1.
    Gaizauskas, R., Humphreys, K.: A Combined IR/NLP Approach to Question Answering Against Large Text Collections. In: 6th Content-Based Multimedia Information Access Conference (RIAO 2000), Paris, France, pp. 1288–1304 (2000)Google Scholar
  2. 2.
    Harabagiu, S., Moldovan, D., Clark, C., Bowden, M., Hickl, A., Wang, P.: Employing Two Question Answering Systems in TREC 2005. In: Text Retrieval Conference (TREC-14), Gaithersburg, Maryland (2005)Google Scholar
  3. 3.
    Harabagiu, S., Moldovan, D., Paşca, M., Mihalcea, R., Surdeanu, M., Bunescu, R., Gîrju, R., Rus, V., Morărescu, P.: FALCON: Boosting Knowledge for Answer Engines. In: Text Retrieval Conference (TREC-9), Gaithersburg, Maryland, pp. 479–489 (2000)Google Scholar
  4. 4.
    Ion, R.: Word Sense Disambiguation Methods Applied to English and Romanian. PhD thesis, Romanian Academy, Bucharest (2007)Google Scholar
  5. 5.
    Ion, R., Barbu Mititelu, V.: Constrained Lexical Attraction Models. In: Nineteenth International Florida Artificial Intelligence Research Society Conference, pp. 297–302. AAAI Press, Menlo Park (2006)Google Scholar
  6. 6.
    Moldovan, D., Bowden, M., Tatu, M.: A Temporally-Enhanced PowerAnswer in TREC 2006. In: Text Retrieval Conference (TREC-15), Gaithersburg, Maryland (2006)Google Scholar
  7. 7.
    Moldovan, D.I., Clark, C., Harabagiu, S.M., Hodges, D.: COGEX: A semantically and contextually enriched logic prover for question answering. J. Applied Logic 5(1), 49–69 (2007)CrossRefMathSciNetGoogle Scholar
  8. 8.
    Moldovan, D., Harabagiu, S., Paşca, M., Mihalcea, R., Goodrum, R., Gîrju, R., Rus, V.: Lasso: A Tool for Surfing the Answer Net. In: Text Retrieval Conference (TREC-8), Gaithersburg, Maryland, pp. 175–184 (1999)Google Scholar
  9. 9.
    Ratnaparkhi, A.: Maximum Entropy Models for Natural Language Ambiguity Resolution. PhD thesis, University of Pennsylvania, Philadelphia, PA (1998)Google Scholar
  10. 10.
    Slator, B.M., Anderson, M.P., Conley, W.: Pygmalion at the interface. Communications of the ACM 29(7), 599–604 (1986)CrossRefGoogle Scholar
  11. 11.
    Voorhees, E.M.: Overview of the TREC 2005 Question Answering Track. In: Text Retrieval Conference (TREC-14), Gaithersburg, Maryland (2005)Google Scholar
  12. 12.
    Yuret, D.: Discovery of linguistic relations using lexical attraction. PhD thesis. MIT, Cambridge (1998)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Dan Tufiş
    • 1
  • Dan Ştefănescu
    • 1
  • Radu Ion
    • 1
  • Alexandru Ceauşu
    • 1
  1. 1.Institute for Artificial IntelligenceRomanian Academy 13Bucharest 5Romania

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