Abstract
This work presents the evaluation of a discourse status classifier for the Portuguese language. It considers two distinguished classes of discourse novelty: Brand-new and New references. An evaluation of the relevant features according to different linguistic levels are presented in detail.
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C. Aone and S. Bennett. Evaluating automated and manual acquisition of anaphora resolution strategies. In Proceedings of the 33rd Annual Meeting of the ACL, pages 122–129, Cambridge, Massachusetts, USA, 1995.
D. L. Bean and E. Riloff. Corpus-based indentification of non-anaphoric noun phrases. In Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics, pages 373–380, College Park, Maryland, USA, 1999.
E. Bick. The Parsing System PALAVRAS: Automatic Grammatical Analysis of Protuguese in a Constraint Grammar Framework. PhD thesis, Arhus University, Arhus, 2000.
R. M. Guillena, M. Palomar, and A. Ferrández. Processing of Spanish definite descriptions. In Proceedings of the Mexican International Conference on Artificial Intelligence, pages 526–537. Springer-Verlag, 2000.
C. Müller, S. Rapp, and M. Strube. Applying co-training to reference resolution. In Proceedings of the 40th Annual Meeting of the ACL, pages 352–359, Philadelphia, PA, 2002.
C. Müller and M. Strube. Mmax: A tool for the annotation of multi-modal corpora. In Proceedings of the 2nd IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems, pages 45–50, Seattle, Washington, 2001.
V. Ng. Learning noun phrase anaphoricity to improve coreference resolution: Issues in representation and optimization. In Proceedings of the 42th Annual Meeting of the Association for Computational Linguistics (ACL), pages 151–158, Barcelona, Spain, 2004.
M. Poesio, M. Alexandrov-Ksbadjov, R. Vieira, R. Goulart, and O. Uryupina. Does discourse-new detection help definite description resolution? In Proceedings of the 6th International Workshop on Computational Semantics, pages 236–246, Tiburg, 2005.
M. Poesio and R. Vieira. A corpus-based investigation of definite description use. Computational Linguistics, 24(2): 183–216, 1998.
E. F. Prince. Toaward taxonomy of given-new information. In P. Cole, editor Radical Gramatics, pages 223–256, New York, 1981. Academic Press.
S. Salmon-Alt and R. Viera. Nominal expressions in multilingual corpora: Definites and demonstratives. In Proceedings of the LREC, pages 1627–1634, Las Palmas, 2002.
W. M. Soon, H. T. Ng, and D. C. Y. Lim. A machine learning approach to coreference resolution of noun phrases. In Computational Linguistics, volume 27, pages 521–544, 2001.
O. Uryupina. High-precision identification of discourse new and unique noun phrases. In Proceedings of the 41st Annual Meeting on ACL, pages 80–86, Sapporo, Japan, 2003.
R. Vieira and M. Poesio. An empirically-based system for processing definite descriptions. Computational Linguistics, 26(4):525–579, 2000.
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© 2006 International Federation for Information Processing
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Collovini, S., Vieira, R. (2006). Learning Discourse-new References in Portuguese Texts. In: Bramer, M. (eds) Artificial Intelligence in Theory and Practice. IFIP AI 2006. IFIP International Federation for Information Processing, vol 217. Springer, Boston, MA . https://doi.org/10.1007/978-0-387-34747-9_28
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DOI: https://doi.org/10.1007/978-0-387-34747-9_28
Publisher Name: Springer, Boston, MA
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