UTCS Artificial Intelligence
beltagy [at] cs utexas edu
On the Proper Treatment of Quantifiers in Probabilistic Logic Semantics
I. Beltagy and Katrin Erk, In
Proceedings of the 11th International Conference on Computational Semantics (IWCS-2015)
, London, UK, April 2015.
Representing Meaning with a Combination of Logical Form and Vectors
I. Beltagy, Stephen Roller, Pengxiang Cheng, Katrin Erk, and Raymond J. Mooney,
arXiv preprint arXiv:1505.06816 [cs.CL]
Efficient Markov Logic Inference for Natural Language Semantics
I. Beltagy and Raymond J. Mooney, In
Proceedings of the Fourth International Workshop on Statistical Relational AI at AAAI (StarAI-2014)
, pp. 9--14, Quebec City, Canada, July 2014.
Natural Language Semantics using Probabilistic Logic
I. Beltagy, PhD proposal, Department of Computer Science, The University of Texas at Austin.
Probabilistic Soft Logic for Semantic Textual Similarity
I. Beltagy, Katrin Erk, and Raymond J. Mooney, In
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL-14)
, pp. 1210--1219, Baltimore, MD 2014.
Semantic Parsing using Distributional Semantics and Probabilistic Logic
I. Beltagy, Katrin Erk, and Raymond Mooney, In
Proceedings of ACL 2014 Workshop on Semantic Parsing (SP-2014)
, pp. 7--11, Baltimore, MD, June 2014.
UTexas: Natural Language Semantics using Distributional Semantics and Probabilistic Logic
I. Beltagy, Stephen Roller, Gemma Boleda, and Katrin Erk, and Raymond J. Mooney, In
The 8th Workshop on Semantic Evaluation (SemEval-2014)
, pp. 796--801, Dublin, Ireland, August 2014.
Montague Meets Markov: Deep Semantics with Probabilistic Logical Form
I. Beltagy, Cuong Chau, Gemma Boleda, Dan Garrette, Katrin Erk, Raymond Mooney,
Proceedings of the Second Joint Conference on Lexical and Computational Semantics (*Sem-2013)
(2013), pp. 11--21.
Areas of Interest
Combining Logical and Distributional Semantics
Natural Language Learning
Natural Language Processing
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