UTCS Artificial Intelligence
beltagy [at] cs utexas edu
Efficient Markov Logic Inference for Natural Language Semantics
Islam 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
Islam Beltagy, PhD proposal, Department of Computer Science, The University of Texas at Austin.
Probabilistic Soft Logic for Semantic Textual Similarity
Islam 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
Islam 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
Islam 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
Islam 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
Natural Language Learning
Natural Language Processing
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