CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
Bayesian learning of probabilistic language models
Bayesian learning of probabilistic language models
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Moving right along: a computational model of metaphoric reasoning about events
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Understanding Natural Language
Understanding Natural Language
Toward a New Generation of Virtual Humans for Interactive Experiences
IEEE Intelligent Systems
Natural methods for robot task learning: instructive demonstrations, generalization and practice
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Statistical source channel models for natural language understanding
Statistical source channel models for natural language understanding
Probabilistic grammars for plan recognition
Probabilistic grammars for plan recognition
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
Corpus-based induction of syntactic structure: models of dependency and constituency
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Grounding the lexical semantics of verbs in visual perception using force dynamics and event logic
Journal of Artificial Intelligence Research
Connecting language to the world
Artificial Intelligence - Special volume on connecting language to the world
Mental imagery for a conversational robot
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Proceedings of the 11th international conference on Intelligent user interfaces
Automatic learning and generation of social behavior from collective human gameplay
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Situated models of meaning for sports video retrieval
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
Learning to connect language and perception
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Reinforcement learning for mapping instructions to actions
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Reading between the lines: learning to map high-level instructions to commands
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Context-based word acquisition for situated dialogue in a virtual world
Journal of Artificial Intelligence Research
Learning to win by reading manuals in a Monte-Carlo framework
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Learning to win by reading manuals in a monte-carlo framework
Journal of Artificial Intelligence Research
Learning high-level planning from text
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
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Natural language interfaces designed for situationally embedded domains (e.g. cars, videogames) must incorporate knowledge about the users' context to address the many ambiguities of situated language use. We introduce a model of situated language acquisition that operates in two phases. First, intentional context is represented and inferred from user actions using probabilistic context free grammars. Then, utterances are mapped onto this representation in a noisy channel framework. The acquisition model is trained on unconstrained speech collected from subjects playing an interactive game, and tested on an understanding task.