A statistical approach to machine translation
Computational Linguistics
Communications of the ACM - Robots: intelligence, versatility, adaptivity
The theory of parsing, translation, and compiling
The theory of parsing, translation, and compiling
A systematic comparison of various statistical alignment models
Computational Linguistics
ICML '06 Proceedings of the 23rd international conference on Machine learning
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
Learning for semantic parsing and natural language generation using statistical machine translation techniques
Statistical machine translation
ACM Computing Surveys (CSUR)
Learning to sportscast: a test of grounded language acquisition
Proceedings of the 25th international conference on Machine learning
Navigate like a cabbie: probabilistic reasoning from observed context-aware behavior
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
3D Perception and Environment Map Generation for Humanoid Robot Navigation
International Journal of Robotics Research
Object schemas for grounding language in a responsive robot
Connection Science - Language and Robots
Walk the talk: connecting language, knowledge, and action in route instructions
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Learning to connect language and perception
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Semiotic schemas: A framework for grounding language in action and perception
Artificial Intelligence - Special volume on connecting language to the world
Learning to follow navigational route instructions
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
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
Where to go: interpreting natural directions using global inference
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Spatial language for human-robot dialogs
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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
Modeling environments from a route perspective
Proceedings of the 6th international conference on Human-robot interaction
Bootstrapping semantic parsers from conversations
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Fast online lexicon learning for grounded language acquisition
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Corpus-based interpretation of instructions in virtual environments
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Toward learning perceptually grounded word meanings from unaligned parallel data
SIAC '12 Proceedings of the Second Workshop on Semantic Interpretation in an Actionable Context
Unsupervised PCFG induction for grounded language learning with highly ambiguous supervision
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
The structure and generality of spoken route instructions
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Synergistic methods for using language in robotics
Proceedings of the Workshop on Performance Metrics for Intelligent Systems
Understanding suitable locations for waiting
Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction
Extracting Spatial Information From Place Descriptions
Proceedings of The First ACM SIGSPATIAL International Workshop on Computational Models of Place
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Mobile robots that interact with humans in an intuitive way must be able to follow directions provided by humans in unconstrained natural language. In this work we investigate how statistical machine translation techniques can be used to bridge the gap between natural language route instructions and a map of an environment built by a robot. Our approach uses training data to learn to translate from natural language instructions to an automatically-labeled map. The complexity of the translation process is controlled by taking advantage of physical constraints imposed by the map. As a result, our technique can efficiently handle uncertainty in both map labeling and parsing. Our experiments demonstrate the promising capabilities achieved by our approach.