Structural representations for learning relations between pairs of texts

ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference

Volumn 1, Issue , 2015, Pages 1003-1013

  Filice, Simone ^a   Da San Martino, Giovanni ^a   Moschitti, Alessandro ^a  

^a QATAR COMPUTING RESEARCH INSTITUTE   (Qatar)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; SEMANTICS; SUPPORT VECTOR MACHINES; SYNTACTICS; TREES (MATHEMATICS);

COMPARATIVE ANALYSIS; LEARNING RELATIONS; RELATIONAL LEARNING; SEMANTIC RELATIONS; SEMANTIC STRUCTURES; STATE OF THE ART; STRUCTURAL REPRESENTATION; TEXTUAL ENTAILMENT;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84943805083     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p15-1097     Document Type: Conference Paper

References (40)

1. Daniel Bär, Chris Biemann, Iryna Gurevych, and Torsten Zesch. 2012. Ukp: Computing semantic textual similarity by combining multiple content similarity measures. In Proc. of SemEval 12. ACL.
2. Karsten M Borgwardt and Hans-Peter Kriegel. 2005. Shortest-Path Kernels on Graphs. ICDM, 0:74-81.
3. Xavier Carreras and Llúis Marquez. 2005. Introduction to the conll-2005 shared task: Semantic role labeling. In Proc. of CONLL 05, USA.
4. Chih-Chung Chang and Chih-Jen Lin. 2011. LIBSVM: A library for support vector machines. ACM Transactions on Intelligent Systems and Technology, 2:27:1-27:27.
5. Elisa Cilia and Alessandro Moschitti. 2007. Advanced tree-based kernels for protein classification. In AIIA 2007: Artificial Intelligence and Human-Oriented Computing, 10th Congress of the Italian Association for Artificial Intelligence, Rome, Italy, September 10-13, 2007, Proceedings, pages 218-229.
6. Fabrizio Costa and Kurt De Grave. 2010. Fast neighborhood subgraph pairwise distance kernel. In ICML, number v.
7. Danilo Croce and Daniele Previtali. 2010. Manifold learning for the semi-supervised induction of framenet predicates: An empirical investigation.
8. Danilo Croce, Alessandro Moschitti, and Roberto Basili. 2011. Structured lexical similarity via convolution kernels on dependency trees. In Proceedings EMNLP.
9. Giovanni Da San Martino, Nicol o Navarin, and Alessandro Sperduti. 2012. A tree-based kernel for graphs. In Proceedings of the Twelfth SIAM International Conference on Data Mining, Anaheim, California, USA, April 26-28, 2012., pages 975-986. SIAM /Omnipress.
10. Bill Dolan, Chris Quirk, and Chris Brockett. 2004. Unsupervised construction of large paraphrase corpora: Exploiting massively parallel news sources. In Proc. of COLING 04, Stroudsburg, PA, USA.
11. David Ferrucci, Eric Brown, Jennifer Chu-Carroll, James Fan, David Gondek, Aditya A Kalyanpur, Adam Lally, J William Murdock, Eric Nyberg, John Prager, et al. 2010. Building watson: An overview of the deepqa project. AI magazine, 31(3):59-79.
12. Evgeniy Gabrilovich and Shaul Markovitch. 2007. Computing semantic relatedness using wikipediabased explicit semantic analysis. In Proc. of IJCAI-07, pages 1606-1611.
13. Thomas Gartner, P Flach, and S Wrobel. 2003. On Graph Kernels : Hardness Results and Efficient Alternatives. LNCS, pages 129-143.
14. Danilo Giampiccolo, Bernardo Magnini, Ido Dagan, and Bill Dolan. 2007. The third pascal recognizing textual entailment challenge. In Proc. of the ACLPASCAL RTE 07 Workshop, pages 1-9. ACL.
15. Daniel Gildea and Daniel Jurafsky. 2002. Automatic labeling of semantic roles. Computational Linguistics, 28:245-288.
16. Alessandra Giordani and Alessandro Moschitti. 2012. Translating questions to sql queries with generative parsers discriminatively reranked. In COLING (Posters), pages 401-410.
17. Francisco Guzmán, Shafiq Joty, Llúis Marquez, Alessandro Moschitti, Preslav Nakov, and Massimo Nicosia. 2014. Learning to differentiate better from worse translations. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 214-220, Doha, Qatar, October. Association for Computational Linguistics.
18. M Heinonen, N Välimäki, V Mäkinen, and J Rousu. 2012. Efficient Path Kernels for Reaction Function Prediction. Bioinformatics Models, Methods and Algorithms.
19. Adrian Iftene and Alexandra Balahur-Dobrescu. 2007. Hypothesis transformation and semantic variability rules used in recognizing textual entailment. In RTE Workshop, Prague.
20. Hisashi Kashima, Koji Tsuda, and Akihiro Inokuchi. 2003. Marginalized kernels between labeled graphs. In ICML, pages 321-328. AAAI Press.
21. Nitin Madnani, Joel Tetreault, and Martin Chodorow. 2012. Re-examining machine translation metrics for paraphrase identification. In Proceedings of NAACL HLT 12. ACL.
22. Pierre Mahé and Jean-Philippe Vert. 2008. Graph kernels based on tree patterns for molecules. Machine Learning, 75(1):3-35, October.
23. Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781.
24. Mike Mintz, Steven Bills, Rion Snow, and Daniel Jurafsky. 2009. Distant supervision for relation extraction without labeled data. In ACL-AFNLP.
25. Alessandro Moschitti. 2006. Efficient convolution kernels for dependency and constituent syntactic trees. In Proc. of ECML06, pages 318-329.
26. Alessandro Moschitti. 2008. Kernel methods, syntax and semantics for relational text categorization. In Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM 08, pages 253-262, New York, NY, USA. ACM.
27. Vivi Nastase, Preslav Nakov, Diarmuid Saghdha, and Stan Szpakowicz. 2013. Semantic Relations Between Nominals. Morgan & Claypool Publishers.
28. Aliaksei Severyn and Alessandro Moschitti. 2012. Structural relationships for large-scale learning of answer re-ranking. In SIGIR.
29. Aliaksei Severyn and Alessandro Moschitti. 2013. Automatic feature engineering for answer selection and extraction. In EMNLP, pages 458-467.
30. Aliaksei Severyn, Massimo Nicosia, and Alessandro Moschitti. 2013a. Building structures from classifiers for passage reranking. In Proceedings of the 22Nd ACM International Conference on Conference on Information &38; Knowledge Management, CIKM 13, pages 969-978, New York, NY, USA. ACM.
31. Aliaksei Severyn, Massimo Nicosia, and Alessandro Moschitti. 2013b. Learning adaptable patterns for passage reranking. Proceedings of the Seventeenth Conference on Computational Natural Language Learning, pages 75-83.
32. John Shawe-Taylor and Nello Cristianini. 2004. Kernel Methods for Pattern Analysis. Cambridge University Press, USA.
33. Nino Shervashidze, Pascal Schweitzer, Erik Jan van Leeuwen, Kurt Mehlhorn, and Karsten M Borgwardt. 2011. Weisfeiler-Lehman Graph Kernels. JMLR, 12:2539-2561.
34. Richard Socher, Eric H. Huang, Jeffrey Pennin, Christopher D Manning, and Andrew Y. Ng. 2011. Dynamic pooling and unfolding recursive autoencoders for paraphrase detection. In NIPS 24.
35. György Szarvas, Chris Biemann, and Iryna Gurevych. 2013. Supervised all-words lexical substitution using delexicalized features. In NAACL.
36. Kateryna Tymoshenko, Alessandro Moschitti, and Aliaksei Severyn. 2014. Encoding semantic resources in syntactic structures for passage reranking. EACL 2014, page 664.
37. S. V. N. Vishwanathan, Karsten M Borgwardt, and Nicol N Schraudolph. 2006. Fast Computation of Graph Kernels. In NIPS.
38. E. Voorhees and D. Tice, 1999. The TREC-8 Question Answering Track Evaluation.
39. Fabio Massimo Zanzotto and Alessandro Moschitti. 2006. Automatic learning of textual entailments with cross-pair similarities. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, pages 401-408, Sydney, Australia, July. Association for Computational Linguistics.
40. Fabio massimo Zanzotto, Marco Pennacchiotti, and Alessandro Moschitti 2009 A machine learning approach to textual entailment recognition. Nat. Lang. Eng 15 4 551-582, October.