Abstract
Information Retrieval (IR) and Question Answering (QA) systems currently ignore information referred anaphorically in documents. Nevertheless, these references hide important information whose analysis can contribute to improve both IR and QA systems performance. The main aim of this paper is to analyze benefits of solving pronominal anaphora for IR and QA tasks. A complete system has been developed for evaluating the effects of applying this technique. Evaluation demonstrates that performance improvements are obtained in both tasks when pronominal references are solved.
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References
A. Ferrández and M. Palomar and L. Moreno. Slot Unification Grammar. In Joint Conference on Declarative Programming (APPIA-GULP-PRODE), 1997.
A. Ferrández and M. Palomar and L. Moreno. Slot Unification Grammar and anaphora resolution. In Recent Advances in Natural Language Processing (RANLP), 1997.
A. Ferrández and M. Palomar and L. Moreno. A computationa approach to pronominal anaphora, one-anaphora and surface count anaphora. In Second Discourse Anaphora and Resolution Colloquium (DAARC2), 1998.
A. Ferrández and M. Palomar and L. Moreno. Anaphora resolution in unrestriced texts with partial parsing. In 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Lingustics, 1998.
A. Ferrández and M. Palomar and L. Moreno. An empirical approach to Spanish anaphora resolution. To appear in Machine Translation, 1999.
J. Berri and D. Moll and M. Hess. Extraction automatique de r ponses: impl mentations du syst me ExtrAns. In TALN’ Traitement Automatique des Langues Naturelles’, June 1998.
K. Spark Jones. What is the Role of NLP in Text Retrieval?, pages 1–24. In [14], 1999.
J. Kupiec. MURAX: Finding and Organising Answers from Text Search, pages 311–331. In [14], 1999.
T. Morton. Using Coreference for Question Answering. In ACL Workshop on Coreference and Its Applications, 1999.
G. Salton. Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer. Addison Wesley, New York, 1998.
T. Strzalkowski and F. Lin and J. Perez-Carballo. Natural language information retrieval: TREC-6 report. In Sixth Text REtrieval Conference, 1998.
T. Strzalkowski and F. Lin and J. Wang and L. Guthrie and J. Leistensnider and J. Wilding and J. Karlgren and T. Straszheim and J. Perez-Carballo. Natural language information retrieval: TREC-5 report. In Fifth Text REtrieval Conference, 1997.
T. Strzalkowski and G. Stein and G. Bowden Wise and J. Perez-Carballo and P. Tapananinen and T. Jarvinen and A. Voutilainen and J. Karlgren. Natural language information retrieval: TREC-7 report. In Seventh Text REtrieval Conference, 1999.
T. Strzalkowsky. Natural Language Information Retrieval. Kluwer Academic, New York, 1999.
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Vicedo, J.L., Ferrández, A. (2000). Applying Anaphora Resolution to Question Answering and Information Retrieval Systems. In: Lu, H., Zhou, A. (eds) Web-Age Information Management. WAIM 2000. Lecture Notes in Computer Science, vol 1846. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45151-X_33
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DOI: https://doi.org/10.1007/3-540-45151-X_33
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