Experiments on unsupervised learning for extracting relevant fragments from spoken dialog corpus

• Authors: Konstantin Biatov
• Venue: ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
• Year: 2000

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.