Paper: Fine-Grained Hidden Markov Modeling For Broadcast-News Story Segmentation

ACL ID H01-1029
Title Fine-Grained Hidden Markov Modeling For Broadcast-News Story Segmentation
Venue Human Language Technologies
Session Main Conference
Year 2001
Authors

We present the design and development of a Hidden Markov Model for the division of news broadcasts into story segments. Model topology, and the textual features used, are discussed, together with the non-parametric estimation techniques that were employed for obtaining estimates for both transition and observation probabilities. Visualization methods developed for the analysis of system performance are also presented.