Probabilistic soft logic for semantic textual similarity

52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference

Volumn 1, Issue , 2014, Pages 1210-1219

  Beltagy, Islam ^a   Erk, Katrin ^b   Mooney, Raymond ^a  

^a University of Texas at Austin   (United States)

^b UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; COMPUTER CIRCUITS; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

DISTRIBUTIONAL INFORMATION; INFERENCE RULES; MARKOV LOGIC NETWORKS; NATURAL LANGUAGE MEANINGS; SEMANTIC SIMILARITY; SOFT LOGIC; TEXTUAL SIMILARITIES;

PROBABILISTIC LOGICS;

EID: 84906929703     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p14-1114     Document Type: Conference Paper

References (29)

1. Eneko Agirre, Daniel Cer, Mona Diab, and Aitor Gonzalez-Agirre. 2012. Semeval-2012 task 6: A pilot on semantic textual similarity. In Proceedings of Semantic Evaluation (SemEval-12).
2. Stephen H. Bach, Bert Huang, Ben London, and Lise Getoor. 2013. Hinge-loss Markov random fields: Convex inference for structured prediction. In Proceedings of Uncertainty in Artificial Intelligence (UAI-13).
3. Daniel Bär, Chris Biemann, Iryna Gurevych, and Torsten Zesch. 2012. UKP: Computing semantic textual similarity by combining multiple content similarity measures. In Proceedings of Semantic Evaluation (SemEval-12).
4. Marco Baroni and Roberto Zamparelli. 2010. Nouns are vectors, adjectives are matrices: Representing adjective-noun constructions in semantic space. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-10).
5. Islam Beltagy, Cuong Chau, Gemma Boleda, Dan Garrette, Katrin Erk, and Raymond Mooney. 2013. Montague meets Markov: Deep semantics with probabilistic logical form. In Proceedings of the Second Joint Conference on Lexical and Computational Semantics (*SEM-13).
6. Jonathan Berant, Ido Dagan, and Jacob Goldberger. 2011. Global learning of typed entailment rules. In Proceedings of Association for Computational Linguistics (ACL-11).
7. Jonathan Berant, Andrew Chou, Roy Frostig, and Percy Liang. 2013. Semantic parsing on Freebase from question-answer pairs. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-13).
8. Johan Bos. 2008. Wide-coverage semantic analysis with Boxer. In Proceedings of Semantics in Text Processing (STEP-08).
9. Matthias Broecheler, Lilyana Mihalkova, and Lise Getoor. 2010. Probabilistic Similarity Logic. In Proceedings of Uncertainty in Artificial Intelligence (UAI-20).
10. David L. Chen and William B. Dolan. 2011. Collecting highly parallel data for paraphrase evaluation. In Proceedings of Association for Computational Linguistics (ACL-11).
11. Stephen Clark and James R. Curran. 2004. Parsing the WSJ using CCG and log-linear models. In Proceedings of Association for Computational Linguistics (ACL-04).
12. Bill Dolan, Chris Quirk, and Chris Brockett. 2004. Unsupervised construction of large paraphrase corpora: Exploiting massively parallel news sources. In Proceedings of the International Conference on Computational Linguistics (COLING-04).
13. Jerome H Friedman. 2002. Stochastic gradient boosting. Journal of Computational Statistics & Data Analysis (CSDA-02).
14. Juri Ganitkevitch, Benjamin Van Durme, and Chris Callison-Burch. 2013. PPDB: The paraphrase database. In Proceedings of North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT-13).
15. Dan Garrette, Katrin Erk, and Raymond Mooney. 2011. Integrating logical representations with probabilistic information using Markov logic. In Proceedings of International Conference on Computational Semantics (IWCS-11).
16. Edward Grefenstette and Mehrnoosh Sadrzadeh. 2011. Experimental support for a categorical compositional distributional model of meaning. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-11).
17. Edward Grefenstette. 2013. Towards a formal distributional semantics: Simulating logical calculi with tensors. In Proceedings of Second Joint Conference on Lexical and Computational Semantics (*SEM 2013).
18. Hans Kamp and Uwe Reyle. 1993. From Discourse to Logic. Kluwer.
19. Angelika Kimmig, Stephen H. Bach, Matthias Broecheler, Bert Huang, and Lise Getoor. 2012. A short introduction to Probabilistic Soft Logic. In Proceedings of NIPS Workshop on Probabilistic Programming: Foundations and Applications (NIPS Workshop-12).
20. Tom Kwiatkowski, Eunsol Choi, Yoav Artzi, and Luke Zettlemoyer. 2013. Scaling semantic parsers with on-the-fly ontology matching. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-13).
21. T. K. Landauer and S. T. Dumais. 1997. A solution to Plato's problem: The Latent Semantic Analysis theory of the acquisition, induction, and representation of knowledge. Psychological Review.
22. Mike Lewis and Mark Steedman. 2013. Combined distributional and logical semantics. Transactions of the Association for Computational Linguistics (TACL-13).
23. Kevin Lund and Curt Burgess. 1996. Producing high-dimensional semantic spaces from lexical cooccurrence. Behavior Research Methods, Instruments, and Computers.
24. Jeff Mitchell and Mirella Lapata. 2008. Vector-based models of semantic composition. In Proceedings of Association for Computational Linguistics (ACL- 08).
25. Jeff Mitchell and Mirella Lapata. 2010. Composition in distributional models of semantics. Journal of Cognitive Science.
26. Richard Montague. 1970. Universal grammar. Theoria, 36:373-398.
27. Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasad Tadepalli, Kristian Kersting, and Jude Shavlik. 2010. Exploiting causal independence in Markov logic networks: Combining undirected and directed models. In Proceedings of European Conference in Machine Learning (ECML-10).
28. Matthew Richardson and Pedro Domingos. 2006. Markov logic networks. Machine Learning, 62:107-136.
29. Peter Turney and Patrick Pantel. 2010. From frequency to meaning: Vector space models of semantics. Journal of Artificial Intelligence Research (JAIR-10).