A first machine learning approach to pronominal anaphora resolution in Basque

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6433 LNAI, Issue , 2010, Pages 234-243

  Arregi, O ^a   Ceberio, K ^a   Diaz De Illarraza A ^a   Goenaga, I ^a   Sierra, B ^a   Zelaia, A ^a  

^a UNIVERSITY OF THE BASQUE COUNTRY UPV EHU   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE VECTORS; LINGUISTIC PROCESSING; MACHINE-LEARNING; PRONOMINAL ANAPHORA; PRONOMINAL ANAPHORA RESOLUTION; RANDOM FORESTS; MACHINE LEARNING APPROACHES;

CLASSIFIERS; DECISION TREES; LEARNING SYSTEMS; ROUGH SET THEORY; ARTIFICIAL INTELLIGENCE;

ARTIFICIAL INTELLIGENCE; LEARNING SYSTEMS;

EID: 78650029669     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16952-6_24     Document Type: Conference Paper

References (24)

1. Aduriz, I., Aranzabe, M.J., Arriola, J.M., Daz de Ilarraza, A., Gojenola, K., Oronoz, M., Uria, L.: A Cascaded Syntactic Analyser for Basque. In: Gelbukh, A. (ed.) CICLing 2004. LNCS, vol. 2945, pp. 124-134. Springer, Heidelberg (2004)
2. Aduriz, I., Aranzabe, M.J., Arriola, J.M., Atutxa, A., Daz de Ilarraza, A., Ezeiza, N., Gojenola, K., Oronoz, M., Soroa, A., Urizar, R.: Methodology and steps towards the construction of EPEC, a corpus of written Basque tagged at morphological and syntactic levels for the automatic processing. In: Wilson, A., Archer, D., Rayson, P. (eds.) Language and Computers, Corpus Linguistics Around the World, Rodopi, Netherlands, pp. 1-15 (2006)
3. Breiman, L.: Random Forests. Machine Learning 45(1), 5-32 (2001)
4. Demiroz, G., Guvenir, A.: Classification by voting feature intervals. In: 9th European Conference on Machine Learning, pp. 85-92 (1997)
5. Haghighi, A., Klein, D.: Simple Coreference Resolution with Rich Syntactic and Semantic Features. In: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, Singapore, pp. 1152-1161 (2009)
6. Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA Data Mining Software: An Update. SIGKDD Explorations 11(1) (2009)
7. Hirst, G.: Anaphora in Natural Language Understanding. Springer, Berlin (1981)
8. Kira, K., Rendell, L.A.: A Practical Approach to Feature Selection. In: Ninth International Workshop on Machine Learning, pp. 249-256 (1992)
9. Kononenko, I.: Estimating Attributes: Analysis and Extensions of RELIEF. In: European Conference on Machine Learning, pp. 171-182 (1994)
10. Kononenko, I., Hong, S.J.: Attribute Selection for Modeling. Future Generation Computer Systems 13, 181-195 (1997)
11. Laka, I.: A Brief Grammar of Euskara, the Basque Language. Euskarako errektoreordetza, EHU (2000), http://www.ehu.es/grammar
12. Mitkov, R.: Anaphora resolution. Longman, London (2002)
13. Moosavi, N.S., Ghassem-Sani, G.: Using Machine Learning Approaches for Persian Pronoun Resolution. In: Workshop on Corpus-Based Approaches to Coreference Resolution in Romance Languages. CBA 2008 (2008)
14. Moosavi, N.S., Ghassem-Sani, G.: A Ranking Approach to Persian Pronoun Resolution. Advances in Computational Linguistics. Research in Computing Science 41, 169-180 (2009)
15. MUC-6.: Proceedings of the Sixth Message Understanding Conference (MUC-6). Morgan Kaufmann, San Francisco, CA (1995)
16. MUC-7.: Proceedings of the Seventh Message Understanding Conference (MUC-7). Morgan Kaufmann, San Francisco, CA (1998)
17. Ng, V., Cardie, C.: Improving Machine Learning Approach to Coreference Resolution. In: Proceedings of the ACL, pp. 104-111 (2002)
18. Nguy, Zabokrtský: Rule-based Approach to Pronominal Anaphora Resolution Method Using the Prague Dependency Treebank 2.0 Data. In: Proceedings of DAARC 2007 (6th Discourse Anaphora and Anaphor Resolution Colloquium) (2007)
19. Palomar, M., Civit, M., Díaz, A., Moreno, L., Bisbal, E., Aranzabe, M.J., Ageno, A., Mart, M.A., Navarro, B.: 3LB: Construcción de una base de datos de árboles sintáctico-semánticos para el catalán, euskera y español. XX. Congreso SEPLN, Barcelona (2004)
20. Soon, W.M., Ng, H.T., Lim, D.C.Y.: A Machine Learning Approach to Coreference Resolution of Noun Phrases. Computational Linguistics 27(4), 521-544 (2001)
21. Versley, Y.: A Constraint-based Approach to Noum Phrase Coreference Resolution in German Newspaper Text. In: Konferenz zur Verarbeitung Natrlicher Sprache KONVENS (2006)
22. Versley, Y., Moschitti, A., Poesio, M., Yang, X.: Coreference System based on Kernels Methods. In: Proceedings of the 22nd International Coreference on Computational Linguistics (Coling 2008), Manchester, pp. 961-968 (2008)
23. Yang, X., Su, J., Tan, C.L.: Kernel-Based Pronoun Resolution with Structured Syntactic Knowledge. In: Proc. COLING/ACL 2006, Sydney, pp. 41-48 (2006)
24. Yldrm, S., Klaslan, Y., Yldz, T.: Pronoun Resolution in Turkish Using Decision Tree and Rule-Based Learning Algorithms. In: Human Language Technology. Challenges of the Information Society. LNCS. Springer, Heidelberg (2009)