System and method for automatic segmentation of ASR transcripts

Image analysis – Image segmentation – Segmenting individual characters or words

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Reexamination Certificate

active

08036464

ABSTRACT:
Text segmentation based on topic boundary detection has been an industry problem in automating information dissemination to targeted users. A system for automatic segmentation of ASR output text involves boundary identification based on “topic” changes. The proposed approach is based on building a weighted graph to determine dependency in input sentences based on bi-directional analysis of the input sentences. Furthermore, the input sentences are segmented based on the notion of segment cohesiveness and the segmented sentences are merged based on preamble and postamble analyses.

REFERENCES:
patent: 6098034 (2000-08-01), Razin et al.
patent: 7092567 (2006-08-01), Ma et al.
patent: 2002/0091713 (2002-07-01), Walker
“Lexter, a Natural Language Tool for Terminology Extraction” by Bourigault D., Gonzalez I., and Gros C. (appeared in Proceedings of the seventh EURALEX International Congress, Goteborg, Sweden, 1996).
“Word Association Norms, Mutual Information and Lexicography” by Church, K. and Hanks, P. (appeared in Computational Linguistics, vol. 16, No. 1, 1991).
“TextTiling: Segmenting Text into Multi-Paragraph Subtopic Passages” by Hearst, M. (appeared in Computational Linguistics, vol. 23, No. 1, 1997).
Query Expansion Using Local and Global Document Analysis by Xu J. and Croft W. B. (appeared in Proceedings of the Nineteenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1996).
“Segmenting Conversations by Topic, Initiative, and Style” by Ries K. (appeared in Proceedings of ACM SIGIR'01 Workshop on Information Retrieval Techniques for Speech Applications, Louisiana, 2001).
“Automatic extraction of key sentences from oral presentations using statistical measure based on discourse markers” by Kitade T., Nanjo H., and Kawahara T. (appeared in Proceedings of International Conference on Spoken Language Processing (ICSLP), 2004).
“Domain-independent Text Segmentation Using Anisotropic Diffusion and Dynamic Programming” by Ji X. and Zha H. (appeared in Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2003).
“Minimum Cut Model for Spoken Lecture Segmentation” by Malioutov I. and Barzilay R. (appeared in Proceedings of the 21 st International Conference on Computational Linguistics of the Association for Computational Linguistics, 2006).
“SeLeCT: A Lexical Cohesion Based News Story Segmentation System” by Stokes N., Carthy J., and Smeaton A. F. (appeared in Journal of AI Communications, vol. 17, No. 1, 2004).
“Text Segmentation by Topic” by Ponte J. M. and Croft W. B. (appeared in Proceedings of the First European Conference on Research and Advanced Technology for Digital Libraries, 1997).

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

System and method for automatic segmentation of ASR transcripts does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with System and method for automatic segmentation of ASR transcripts, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and method for automatic segmentation of ASR transcripts will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-4262931

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.