A systematic comparison of various statistical alignment models
Computational Linguistics
Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
Intricacies of Collins' Parsing Model
Computational Linguistics
Using string-kernels for learning semantic parsers
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Learning for semantic parsing with statistical machine translation
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Discriminative reranking for semantic parsing
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Maximum entropy estimation for feature forests
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Learning for semantic parsing and natural language generation using statistical machine translation techniques
A generative model for parsing natural language to meaning representations
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A statistical semantic parser that integrates syntax and semantics
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Learning to parse database queries using inductive logic programming
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Training a multilingual sportscaster: using perceptual context to learn language
Journal of Artificial Intelligence Research
Unsupervised learning of semantic relation composition
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Using inverse λ and generalization to translate English to formal languages
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
A novel framework of training hidden markov support vector machines from lightly-annotated data
Proceedings of the 20th ACM international conference on Information and knowledge management
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Multi-mode Natural Language Processing for Extracting Open Knowledge
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Composition of semantic relations: Theoretical framework and case study
ACM Transactions on Speech and Language Processing (TSLP)
Efficient latent structural perceptron with hybrid trees for semantic parsing
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Multilingual joint parsing of syntactic and semantic dependencies with a latent variable model
Computational Linguistics
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We present a new approach to learning a semantic parser (a system that maps natural language sentences into logical form). Unlike previous methods, it exploits an existing syntactic parser to produce disambiguated parse trees that drive the compositional semantic interpretation. The resulting system produces improved results on standard corpora on natural language interfaces for database querying and simulated robot control.