Noun-phrase co-occurrence statistics for semiautomatic semantic lexicon construction
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
A graph model for unsupervised lexical acquisition
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Unsupervised methods for developing taxonomies by combining syntactic and statistical information
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Efficient Computation of Gapped Substring Kernels on Large Alphabets
The Journal of Machine Learning Research
The prospects for unrestricted speech input for TV content search
Proceedings of the working conference on Advanced visual interfaces
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
New challenges in content dissemination networks
Bell Labs Technical Journal - Content Networking
MIMUS: a multimodal and multilingual dialogue system for the home domain
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Topics inference by weighted mutual information measures computed from structured corpus
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
Enriching domain-specific language models using domain independent WWW n-gram corpus
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
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This paper describes a new novel approach to the conceptual modeling of text-based electronic programming guide (EPG) for broadcast TV programs by using a large text corpus constructed from the EPG metadata source. Two empirical experiments are carried out to evaluate the EPG-specific language models created using the new algorithm in context of natural language (NL) based information retrieval systems. The experimental results show the effectiveness of the algorithm for developing low-complexity concept models with high coverage for the user's language models associated with both typed and spoken queries when interacting with a NL based EPG search interface.