Abstract
In this paper are described experiments on unsupervised learning of the domain lexicon and relevant phrase fragments from a dialog corpus. Suggested approach is based on using domain independent words for chunking and using semantical predictional power of such words for clustering and automatic extraction phrase fragments relevant to dialog topics.
Cite
CITATION STYLE
Biatov, K. (2000). Experiments on unsupervised learning for extracting relevant fragments from spoken dialog corpus. In Proceedings of the 4th Conference on Computational Natural Language Learning, CoNLL 2000 and of the 2nd Learning Language in Logic Workshop, LLL 2000 - Held in cooperation with ICGI 2000 (pp. 83–86). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1117601.1117619
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