Advertisement

UNED at iCLEF 2005: Automatic Highlighting of Potential Answers

  • Víctor Peinado
  • Fernando López-Ostenero
  • Julio Gonzalo
  • Felisa Verdejo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4022)

Abstract

In this paper, we describe UNED’s participation in the iCLEF 2005 track. We have compared two strategies for finding an answer using an interactive question answering system: i) a search system over full documents and ii) a search system over passages (document’s paragraphs). We have added an interesting feature to both system in order to facilitate reading: the possibility to enable/disable the highlighting of named entities such as proper nouns, temporal references and numbers likely to contain the right answer.

Our Document Searcher obtained better overall accuracy (0.53 vs. 0.45) but our subjects found browsing passages simpler and faster. However, most of them presented a similar search behavior (regarding time consumption, confidence in their answers and query refinements) using both systems. All our users considered helpful the highlighting of named entities and they all made extensive use of this possibility as a quick way of discriminating between relevant and non relevant documents and finding a valid answer.

Keywords

Temporal Reference Machine Translation Bovine Spongiform Encephalopathy News Article Query Term 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Callan, J.P., Croft, B.W., Harding, S.M.: The Inquery Retrieval System. In: Proceedings of the Third International Conference on Database and Expert Systems Applications, pp. 78–83. Springer, Heidelberg (1992)Google Scholar
  2. 2.
    Figuerola, C.G., Zazo, A.F., Alonso Berrocal, J.L., de Aldana, R.V.: REINA at the iCLEF 2004. In: Figuerola, C.G., Zazo, A.F., Alonso Berrocal, J.L. (eds.) Results of the CLEF 2004 Evaluation Campaign. LNCS, vol. 3491, Springer, Heidelberg (2005)Google Scholar
  3. 3.
    Gonzalo, J., Clough, P., Vallin, A.: Overview of the CLEF 2005 Interactive 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. 251–262. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  4. 4.
    López-Ostenero, F., Gonzalo, J., Peinado, V., Verdejo, F.: Interactive Cross-Language Question Answering: Searching Passages Versus Searching Documents. In: Peters, C., Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds.) CLEF 2004. LNCS, vol. 3491, pp. 323–333. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  5. 5.
    Peinado, V., López-Ostenero, F., Gonzalo, J.: UNED at ImageCLEF 2005: Automatically Structured Queries with Named Entities over Metadata. In: Proceedings of the Cross-Language Evaluation Forum 2005. Lecture Notes of Computer Science, vol. 4022, Springer, Heidelberg (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Víctor Peinado
    • 1
  • Fernando López-Ostenero
    • 1
  • Julio Gonzalo
    • 1
  • Felisa Verdejo
    • 1
  1. 1.NLP Group, ETSI Informática, UNEDMadridSpain

Personalised recommendations