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Towards Semi-supervised Brazilian Portuguese Semantic Role Labeling: Building a Benchmark

  • Conference paper
Computational Processing of the Portuguese Language (PROPOR 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7243))

Abstract

One of the main research challenges in semantic role labeling (SRL) is the development of applications for languages other than English. For Brazilian Portuguese, recent projects in lexical semantics are about to provide the necessary computational resources for research in this area. However, the amount of annotated data provided is not significant enough for successful supervised learning. Hence, we propose to use a semi-supervised approach capable of taking advantage of both annotated and unannotated data available. In this paper, we outline the methodology for the development of this SRL system, the same as the benchmark to be used to test its performance.

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References

  1. Abend, O., Reichart, R., Rappoport, A.: Unsupervised argument identification for Semantic Role Labeling. In: 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, Singapore, pp. 28–36 (2009)

    Google Scholar 

  2. Amancio, M.A., Duran, M.S., Aluisio, S.M.: Automatic Question Categorization: a New Approach for Text Elaboration. In: 2010 Workshop on Natural Language Processing and Web-based Technologies – IBERAMIA 2010, pp. 21–30. Bahía Blanca, Argentina (2010)

    Google Scholar 

  3. Bick, E.: The parsing system PALAVRAS: automatic grammatical analysis of Portuguese in a constraint grammar framework. Aarhus University Press (2000)

    Google Scholar 

  4. Bick, E.: Automatic Semantic Role Annotation for Portuguese. In: V Workshop em Tecnologia da Informação e da Linguagem Humana – XXVII Congresso da Sociedade Brasileira de Computação, RJ, Brazil, pp. 1713–1716 (2007)

    Google Scholar 

  5. Carreras, X., Màrquez, L.: Introduction to the CoNLL-2004 Shared Task: Semantic Role Labeling. In: 8th Conference on Computational Natural Language Learning: Shared Task, pp. 89–97. ACL, Boston (2004)

    Google Scholar 

  6. Carreras, X., Màrquez, L.: Introduction to the CoNLL-2005 Shared Task: Semantic Role Labeling. In: 9th Conference on Computational Natural Language Learning: Shared Task, pp. 152–164. ACL, Ann Arbor (2005)

    Chapter  Google Scholar 

  7. Diab, M., Alkhalifa, M., ElKateb, S., Fellbaum, C., Mansouri, A., Palmer, M.: SemEval-2007 Task 18: Arabic Semantic Labeling. In: 4th International Workshop on Semantic Evaluations, pp. 93–98. ACL, Prague (2007)

    Chapter  Google Scholar 

  8. Diab, M., Moschitti, A., Pighin, D.: Semantic Role Labeling Systems for Arabic using Kernel Methods. In: 46th Annual Meeting of the ACL: Human Language Technologies, pp. 798–806. ACL, Columbus (2008)

    Google Scholar 

  9. Duran, M.S.: Tratamento Automático de Verbos Auxiliares no Português do Brasil. Seminário do GEL, 58 (2010), http://www.gel.org.br/?resumo=6572-10

  10. Duran, M.S., Aluísio, S.M.: Propbank-Br: a Brazilian Portuguese Corpus Annotated with Semantic Role Labels. In: 8th Brazilian Symposium in Information and Human Language Technology, pp. 164–168. Cuiabá, Mato Grosso (2011)

    Google Scholar 

  11. Fürstenau, H., Lapata, M.: Graph Alignment for Semi-Supervised Semantic Role Labeling. In: 2009 Conference on Empirical Methods in Natural Language Processing, pp. 11–20. ACL and AFNLP, Singapore (2009)

    Chapter  Google Scholar 

  12. Fürstenau, H., Lapata, M.: Semi-supervised Semantic Role Labeling. In: 12th Conference of the European Chapter of the ACL, pp. 220–228. ACL, Athens (2009)

    Google Scholar 

  13. Fürstenau, H., Lapata, M.: Semi-supervised Semantic Role Labeling via Structural Alignment. Computational Linguistics 38(1), 135–171 (2012)

    Article  Google Scholar 

  14. Gildea, D., Jurafsky, D.: Automatic labeling of semantic roles. Computational Linguistics 28(3), 245–288 (2002)

    Article  Google Scholar 

  15. Hajic, J., Ciaramita, M., Johansson, R., Kawahara, D., Martí, M.A., Màrquez, L., Mayers, A., Nivre, J., Padó, S., Stepánek, J., Stranák, P., Surdeanu, M., Xue, N., Zhang, Y.: The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages. In: 13th Conference on Computational Natural Language Learning: Shared Task, pp. 1–18. ACL, Boulder (2009)

    Chapter  Google Scholar 

  16. Lang, J., Lapata, M.: Unsupervised Induction of Semantic Roles. In: Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the ACL, pp. 939–947. ACL, Los Angeles (2010)

    Google Scholar 

  17. Lang, J., Lapata, M.: Unsupervised Semantic Role Induction via Split-Merge Clustering. In: 49th Annual Meeting of the Association for Computational Linguistics, pp. 1117–1126. ACL, Portland (2011)

    Google Scholar 

  18. Lang, J., Lapata, M.: Unsupervised Semantic Role Induction with Graph Partitioning. In: 2011 Conference on Empirical Methods in Natural Language Processing, pp. 1320–1331. ACL, Edinburgh (2011)

    Google Scholar 

  19. Monachesi, P., Stevens, G., Trapman, J.: Adding semantic role annotation to a corpus of written Dutch. In: 1st Linguistic Annotation Workshop, pp. 77–84. ACL, Prague (2007)

    Chapter  Google Scholar 

  20. Morante, R., Busser, B.: ILK2: Semantic Role Labelling for Catalan and Spanish using TiMBL. In: 4th International Workshop on Semantic Evaluations, pp. 183–186. ACL, Prague (2007)

    Chapter  Google Scholar 

  21. Màrquez, L.: Semantic Role Labeling: Past, Present and Future. In: Tutorial Abstracts of ACL-IJCNLP 2009, p. 3. ACL, Singapore (2009)

    Chapter  Google Scholar 

  22. Padó, S., Lapata, M.: Cross-linguistic Projection of Role-Semantic Information. In: Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing 2005, pp. 859–866. ACL, Vancouver (2005)

    Chapter  Google Scholar 

  23. Padó, S., Lapata, M.: Optimal Constituent Alignment with Edge Covers for Semantic Projection. In: 21st International Conference on Computational Linguistics and the 44th Annual Meeting of the ACL, pp. 1161–1168. ACL, Sydney (2006)

    Chapter  Google Scholar 

  24. Padó, S., Lapata, M.: Cross-lingual Annotation Projection of Semantic Roles. Journal of Artificial Intelligence Research 36, 307–340 (2009)

    MATH  Google Scholar 

  25. Salomão, M.M.M.: Framenet brasil: um trabalho em progresso. Calidoscópio 7(3), 171–182 (2009)

    Article  Google Scholar 

  26. Santos, D., Bick, E., Afonso, S.: Floresta sintá(c)tica: apresentação e história do projecto. Encontro Um passeio pela Floresta Sintá(c)tica (Setembro 2007)

    Google Scholar 

  27. Scarton, C.E.: VerbNet.Br: construção semiautomática de um léxico computacional de verbos para o português do Brasil. In: 8th Brazilian Symposium in Information and Human Language Technology, pp. 20–29. Cuiabá, Mato Grosso (2011)

    Google Scholar 

  28. Surdeanu, M., Johansson, R., Meyers, A., Màrquez, L., Nivre, J.: The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies. In: 12th Conference on Computational Natural Language Learning, pp. 159–177. ACL, Manchester (2008)

    Chapter  Google Scholar 

  29. Xue, N.: Labeling Chinese Predicates with Semantic Roles. Computational Linguistics 34, 225–255 (2008)

    Article  MathSciNet  Google Scholar 

  30. Xue, N., Palmer, M.: Calibrating Features for Semantic Role Labeling. In: 2004 Conference on Empirical Methods in Natural Language Processing, pp. 88–94. ACL, Barcelona (2004)

    Google Scholar 

  31. Yarowsky, D.: Unsupervised word sense disambiguation rivaling supervised methods. In: 33rd Annual Meeting of the Association for Computational Linguistics, pp. 189–196. ACL, Cambridge (1995)

    Chapter  Google Scholar 

  32. Kaljahi, R.S.Z.: Adapting Self-training for Semantic Role Labeling. In: ACL 2010 Student Research Workshop, pp. 91–96. ACL, Uppsala (2010)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Núcleo Interinstitucional de Linguística Computacional (NILC), Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, Av. Trabalhador São-carlense, 400, Centro, 13560-979, São Carlos, SP, Brasil

    Fernando Emilio Alva-Manchego & João Luís G. Rosa

Authors
  1. Fernando Emilio Alva-Manchego
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  2. João Luís G. Rosa
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Editor information

Editors and Affiliations

  1. UFSCAR, Rod. Washington Luís, 13565-905, São Carlos, Brazil

    Helena Caseli

  2. UFRGS, Av. Bento Gonçalves, 9500, 91501-970, Porto Alegre, Brazil

    Aline Villavicencio

  3. DETI/IEETA, Universidade de Aveiro, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal

    António Teixeira

  4. UC/ IT, DEEC, Universidade de Coimbra, Polo 2, 3030-290, Coimbra, Portugal

    Fernando Perdigão

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© 2012 Springer-Verlag Berlin Heidelberg

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Alva-Manchego, F.E., Rosa, J.L.G. (2012). Towards Semi-supervised Brazilian Portuguese Semantic Role Labeling: Building a Benchmark. In: Caseli, H., Villavicencio, A., Teixeira, A., Perdigão, F. (eds) Computational Processing of the Portuguese Language. PROPOR 2012. Lecture Notes in Computer Science(), vol 7243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28885-2_24

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  • DOI: https://doi.org/10.1007/978-3-642-28885-2_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28884-5

  • Online ISBN: 978-3-642-28885-2

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