Linear Discourse Segmentation of Multi-Party Meetings Based on Local and Global Information

@article{Bokaei2015LinearDS,
  title={Linear Discourse Segmentation of Multi-Party Meetings Based on Local and Global Information},
  author={Mohammad Hadi Bokaei and Hossein Sameti and Yang Liu},
  journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},
  year={2015},
  volume={23},
  pages={1879-1891}
}
Linear segmentation of a meeting conversation is beneficial as a stand-alone system (to organize a meeting and make it easier to access) or as a preprocessing step for many other meeting related tasks. Such segmentation can be done according to two different criteria: topic in which a meeting is segmented according to the different items in its agenda, and function in which the segmentation is done according to the meeting's different events (like discussion, monologue). In this article we… CONTINUE READING

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