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Information Retrieval: Ranking Results According to Calendar Criteria

  • Delphine Battistelli
  • Marcel Cori
  • Jean-Luc Minel
  • Charles Teissèdre
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 297)

Abstract

Our work deals with calendar information as it is expressed in natural language (NL), that is to say through textual units such as prepositional phrases or noun phrases (e.g. in the 90s, at the beginning of the XVth century). We call these textual units Calendar Expressions (CE). Our work aims at showing how Information Retrieval systems can benefit from dealing with CE. In this paper we describe our overall approach which consists in a formal analysis of CEs that leads to a semantic representation. We then detail an algorithm that uses this representation to filter and rank CEs embedded in texts, according to a query containing a CE. The algorithm is integrated in an experimental search engine (called CaSE). Our representation of calendar information as it is expressed in NL and the function which computes the proximity between the two CEs, one in the text and the other in the query, provides a mean to process a query without any overlapping.

Keywords

Information Retrieval Noun Phrase Temporal Information Ranking Result Information Retrieval System 
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.

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References

  1. 1.
    Allen, J.F.: Maintaining Knowledge about Temporal Intervals. Communications of the ACM 26, 832–843 (1983)zbMATHCrossRefGoogle Scholar
  2. 2.
    Alonso, O., Gertz, M., Baeza-Yates, R.: On the Value of Temporal Information in Temporal Information Retrieval. SIGIR Forum 41(2), 35–41 (2007)CrossRefGoogle Scholar
  3. 3.
    Alonso, O., Gertz, M., Baeza-Yates, R.: Clustering and Exploring Search Results using Timeline Constructions. In: Proc. CIKM 2009, Hong Kong (2009)Google Scholar
  4. 4.
    Battistelli, D., Couto, J., Minel, J.-L., Schwer, S.: Representing and Visualizing Calendar Expressions in Texts. In Proc. STEP 2008, Venice (2008)Google Scholar
  5. 5.
    Battistelli, D., Cori, M., Minel, J.-L., Teissèdre, C.: Semantics of Calendar Adverbials for Information Retrieval. In: Kryszkiewicz, M., Rybinski, H., Skowron, A., Raś, Z.W. (eds.) ISMIS 2011. LNCS, vol. 6804, pp. 622–631. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  6. 6.
    Berberich, K., Bedathur, S., Alonso, O., Weikum, G.: A Language Modeling Approach for Temporal Information Needs. In: Gurrin, C., He, Y., Kazai, G., Kruschwitz, U., Little, S., Roelleke, T., Rüger, S., van Rijsbergen, K. (eds.) ECIR 2010. LNCS, vol. 5993, pp. 13–25. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  7. 7.
    Charolles, M., Vigier, D.: Les adverbiaux en position préverbale: portée cadrative et organisation des discours. Langue Française 2(148), 9–30 (2005)Google Scholar
  8. 8.
    Dakka, W., Gravano, L., Ipeirotis, P.G.: Answering General Time-Sensitive Queries. In: Proc. CIKM 2008, Napa Valley, California (2008)Google Scholar
  9. 9.
    Ferro, L., Gerber, L., Mani, I., Sundheim, B., Wilson, G.: TIDES 2005 Standard for the Annotation of Temporal Expressions, http://fofoca.mitre.org/annotation_guidelines/2005_timex2_standard_v1.1.pdf
  10. 10.
    Jin, P., Lian, J., Zhao, X., Wan, S.: TISE: A Temporal Search Engine for Web Contents. In: IITA 2008 (2008)Google Scholar
  11. 11.
    Jones, R., Diaz, F.: Temporal Profiles of Queries. ACM Trans. Inf. Syst. (2007)Google Scholar
  12. 12.
    Klein, W.: Time in Language. Routledge, London (1994)Google Scholar
  13. 13.
    Le Draoulec, A., Péry-Woodley, M.-P.: Time Travel in Text: Temporal Framing in Narratives and Non-narratives. In: MAD 2003, Amsterdam, pp. 267–275 (2003)Google Scholar
  14. 14.
    Li, X., Croft, W.B.: Time-Based Language Models. In: CIKM 2003 (2003)Google Scholar
  15. 15.
    Pustejovsky, J., Castano, J., Ingria, R., Saurí, R., Gaizauskas, R., Setzer, A., Katz, G.: TimeML: Robust Specification of Event and Temporal Expressions in Text. In: IWCS-5 (2003)Google Scholar
  16. 16.
    Pustejovsky, J., Ingria, R., Saurí, R., Castano, J., Littman, J., Gaizauskas, R., Setzer, A., Katz, G., Mani, I.: The Specification Language TimeML. In: The Language of Time. A Reader. Oxford University Press Inc., New York (2005)Google Scholar
  17. 17.
    Schilder, F., Habel, C.: From Temporal Expressions to Temporal Information: Semantic Tagging of News Messages. In: Proc. ACL 2001, Workshop on Temporal and Spatial Information Processing, Toulouse, France (2001)Google Scholar
  18. 18.
    Teissèdre, C., Battistelli, D., Minel, J.-L.: Resources for Calendar Expressions Semantic Tagging and temporal Navigation through Texts. In: Proc. LREC 2010, Malta (2010)Google Scholar
  19. 19.
    Van Raemdonck, D.: Est-il pertinent de parler d’une classe d’adverbes de temps? Actes de CLAC 7 (2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Delphine Battistelli
    • 1
  • Marcel Cori
    • 2
  • Jean-Luc Minel
    • 2
  • Charles Teissèdre
    • 2
    • 3
  1. 1.STIH - Paris SorbonneParisFrance
  2. 2.MoDyCo CNRS UMR 7114 - Université Paris OuestNanterreFrance
  3. 3.MondecaParisFrance

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