On the hardness of approximate reasoning
Artificial Intelligence
Machine Learning
Spoken language interpretation: On the use of dynamic Bayesian networks for semantic composition
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Semantic composition with (robust) minimal recursion semantics
DeepLP '07 Proceedings of the Workshop on Deep Linguistic Processing
A general, abstract model of incremental dialogue processing
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Incremental dialogue processing in a micro-domain
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Jointly identifying predicates, arguments and senses using Markov logic
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Assessing and improving the performance of speech recognition for incremental systems
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
A simple method for resolution of definite reference in a shared visual context
SIGdial '08 Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue
Learning context-dependent mappings from sentences to logical form
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 2 - Volume 2
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Towards incremental speech generation in dialogue systems
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Comparing local and sequential models for statistical incremental natural language understanding
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Learning dependency-based compositional semantics
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Comparing Stochastic Approaches to Spoken Language Understanding in Multiple Languages
IEEE Transactions on Audio, Speech, and Language Processing
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Integrating incremental speech recognition and POMDP-based dialogue systems
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Markov logic networks for situated incremental natural language understanding
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
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We present work on understanding natural language in a situated domain in an incremental, word-by-word fashion. We explore a set of models specified as Markov Logic Networks and show that a model that has access to information about the visual context during an utterance, its discourse context, the words of the utterance, as well as the linguistic structure of the utterance performs best and is robust to noisy speech input. We explore the incremental properties of the models and offer some analysis. We conclude that mlns provide a promising framework for specifying such models in a general, possibly domain-independent way.