Structured learning for semantic role labeling

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

Volumn 6934 LNAI, Issue , 2011, Pages 238-249

  Croce, Danilo ^a   Basili, Roberto ^a  

^a Dipartimento di Matematica   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

FRAMENET; LANGUAGE LEARNING; SEMANTIC ROLE LABELING; STRUCTURED LEARNING; SYNTACTIC PARSING; TRAINING CONDITIONS; TRAINING DATA;

SEMANTICS; ARTIFICIAL INTELLIGENCE; SYNTACTICS;

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL LINGUISTICS;

EID: 80053040818     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23954-0_23     Document Type: Conference Paper

References (27)

1. Altun, Y., Tsochantaridis, I., Hofmann, T.: Hidden Markov support vector machines. In: Proceedings of the International Conference on Machine Learning (2003) No preprocessing or I/O overhead is obviously considered here.
2. Baroni, M., Bernardini, S., Ferraresi, A., Zanchetta, E.: The wacky wide web: a collection of very large linguistically processed web-crawled corpora. Language Resources and Evaluation 43(3), 209-226 (2009)
3. Collins, M.: Three generative, lexicalised models for statistical parsing. In: Proceedings of ACL 1997, pp. 16-23 (1997)
4. Collins, M., Duffy, N.: Convolution kernels for natural language. In: Proceedings of Neural Information Processing Systems (NIPS), pp. 625-632 (2001)
5. Croce, D., Giannone, C., Annesi, P., Basili, R.: Towards open-domain semantic role labeling. In: ACL, pp. 237-246 (2010)
6. Gildea, D., Jurafsky, D.: Automatic Labeling of Semantic Roles. Computational Linguistics 28(3), 245-288 (2002)
7. Golub, G., Kahan, W.: Calculating the singular values and pseudo-inverse of a matrix. Journal of the Society for Industrial and Applied Mathematics 2(2) (1965)
8. Harris, Z.: Distributional structure. In: Katz, J.J., Fodor, J.A. (eds.) The Philosophy of Linguistics. Oxford University Press, Oxford (1964)
9. Huang, F., Yates, A.: Distributional representations for handling sparsity in supervised sequence-labeling. In: ACL-IJCNLP 2009, vol. 1, pp. 495-503. ACL, Morristown (2009)
10. Johansson, R., Nugues, P.: Dependency-based syntactic-semantic analysis with propbank and nombank. In: Proceedings of CoNLL 2008, Manchester, UK, August 16-17 (2008)
11. Johansson, R., Nugues, P.: The effect of syntactic representation on semantic role labeling. In: Proceedings of COLING, Manchester, UK, August 18-22 (2008)
12. Landauer, T., Dumais, S.: A solution to plato's problem: The latent semantic analysis theory of acquisition, induction and representation of knowledge. Psychological Review 104(2), 211-240 (1997)
13. Lin, D.: Automatic retrieval and clustering of similar word. In: Proceedings of COLINGACL, Montreal, Canada (1998)
14. Màrquez, L., Comas, P., Gimènez, J., Català, N.: Semantic role labeling as sequential tagging. In: Proceedings of CoNLL-2005 Shared Task (2005)
15. Moschitti, A.: Efficient convolution kernels for dependency and constituent syntactic trees. In: ECML, Berlin, Germany, pp. 318-329 (2006); Machine Learning (Pubitemid 44618842)
16. Moschitti, A., Pighin, D., Basili, R.: Tree kernels for semantic role labeling. Computational Linguistics 34 (2008)
17. Moschitti, A., Quarteroni, S., Basili, R., Manandhar, S.: Exploiting syntactic and shallow semantic kernels for question answer classification. In: Proc. of ACL 2007, pp. 776-783 (2007)
18. Pado, S., Lapata, M.: Dependency-based construction of semantic space models. Computational Linguistics 33(2) (2007)
19. Pradhan, S., Hacioglu, K., Krugler, V., Ward, W., Martin, J.H., Jurafsky, D.: Support vector learning for semantic argument classification. Machine Learning Journal (2005)
20. Pradhan, S.S., Ward, W., Martin, J.H.: Towards robust semantic role labeling. Comput. Linguist. 34(2), 289-310 (2008)
21. Sahlgren, M.: The Word-Space Model. Ph.D. thesis, Stockholm University (2006)
22. Schutze, H.: Automatic word sense discrimination. Journal of Computational Linguistics 24, 97-123 (1998)
23. Steedman, M.: The syntactic process. MIT Press, Cambridge (2000)
24. Tonelli, S., Pianta, E.: Frame information transfer from english to italian. In: LREC 2008 (2008)
25. Toutanova, K., Haghighi, A., Manning, C.D.: A global joint model for semantic role labeling. Comput. Linguist. 34(2), 161-191 (2008)
26. Tsochantaridis, I., Joachims, T., Hofmann, T., Altun, Y.: Large margin methods for structured and interdependent output variables. J. Machine Learning Reserach 6 (December 2005)
27. Turney, P.D., Pantel, P.: From frequency to meaning: Vector space models of semantics. Journal of Artificial Intelligence Research 37, 141-188 (2010)