UTexas: Natural Language Semantics using Distributional Semantics and Probabilistic Logic

8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings

Volumn , Issue , 2014, Pages 796-801

  Beltagy, Islam ^a   Roller, Stephen ^a   Boleda, Gemma ^b   Erk, Katrin ^b   Mooney, Raymond J ^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; SEMANTICS;

DISTRIBUTIONAL INFORMATION; DISTRIBUTIONAL SEMANTICS; MARKOV LOGIC NETWORKS; NATURAL LANGUAGE SEMANTICS; PROBABILISTICS; SOFT LOGIC;

PROBABILISTIC LOGICS;

EID: 84944137649     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (27)

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. Marco Baroni and Alessandro Lenci. 2011. How we BLESSed distributional semantic evaluation. In Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural Language Semantics, pages 1–10, Edinburgh, UK, July. Association for Computational Linguistics.
3. 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).
4. Islam Beltagy and Raymond J. Mooney. 2014. Efficient Markov logic inference for natural language semantics. In Proceedings of AAAI 2014 Workshop on Statistical Relational AI (StarAI-14).
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. Islam Beltagy, Katrin Erk, and Raymond Mooney. 2014a. Probabilistic soft logic for semantic textual similarity. In Proceedings of Association for Computational Linguistics (ACL-14).
7. Islam Beltagy, Katrin Erk, and Raymond Mooney. 2014b. Semantic parsing using distributional semantics and probabilistic logic. In Proceedings of ACL 2014 Workshop on Semantic Parsing (SP-2014).
8. Johan Bos. 2008. Wide-coverage semantic analysis with Boxer. In Proceedings of Semantics in Text Processing (STEP-08).
9. J.H. Friedman. 1999. Stochastic gradient boosting. Technical report, Stanford University.
10. 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).
11. Vibhav Gogate and Rina Dechter. 2011. Sample-search: Importance sampling in presence of determinism. Artificial Intelligence, 175(2):694–729.
12. Vibhav Gogate and Pedro Domingos. 2011. Probabilistic theorem proving. In 27th Conference on Uncertainty in Artificial Intelligence (UAI-11).
13. 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).
14. Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, and Ian H. Witten. 2009. The weka data mining software: an update. SIGKDD Explor. Newsl., 11(1):10–18.
15. Hans Kamp and Uwe Reyle. 1993. From Discourse to Logic. Kluwer.
16. 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).
17. Stanley Kok, Parag Singla, Matthew Richardson, and Pedro Domingos. 2005. The Alchemy system for statistical relational AI. Technical report, Department of Computer Science and Engineering, University of Washington. http://www.cs.washington.edu/ai/alchemy.
18. Lili Kotlerman, Ido Dagan, Idan Szpektor, and Maayan Zhitomirsky-Geffet. 2010. Directional distributional similarity for lexical inference. Natural Language Engineering, 16(4):359–389.
19. Alessandro Lenci and Giulia Benotto. 2012. Identifying hypernyms in distributional semantic spaces. In Proceedings of the first Joint Conference on Lexical and Computational Semantics (*SEM-12).
20. Marco Marelli, Luisa Bentivogli, Marco Baroni, Raffaella Bernardi, Stefano Menini, and Roberto Zamparelli. 2014a. SemEval-2014 task 1: Evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval-2014), Dublin, Ireland.
21. Marco Marelli, Stefano Menini, Marco Baroni, Luisa Bentivogli, Raffaella Bernardi, and Roberto Zamparelli. 2014b. A sick cure for the evaluation of compositional distributional semantic models. In Nicoletta Calzolari (Conference Chair), Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, and Stelios Piperidis, editors, Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14), Reykjavik, Iceland, may. European Language Resources Association (ELRA).
22. Jeff Mitchell and Mirella Lapata. 2008. Vector-based models of semantic composition. In Proceedings of Association for Computational Linguistics (ACL-08).
23. Jeff Mitchell and Mirella Lapata. 2010. Composition in distributional models of semantics. Cognitive Science, 34(3):1388–1429.
24. Richard Montague. 1970. Universal grammar. Theoria, 36:373–398.
25. Matthew Richardson and Pedro Domingos. 2006. Markov logic networks. Machine Learning, 62:107–136.
26. Stephen Roller, Katrin Erk, and Gemma Boleda. 2014. Inclusive yet selective: Supervised distributional hypernymy detection. In Proceedings of the Twenty Fifth International Conference on Computational Linguistics (COLING-14), Dublin, Ireland.
27. Peter Turney and Patrick Pantel. 2010. From frequency to meaning: Vector space models of semantics. Journal of Artificial Intelligence Research, 37(1):141–188.