Speaker: Satanjeev Banerjee
Title: Segmenting Meetings into Agenda Items by Extracting Implicit
Supervision from Human Note-Taking

Abstract: Splitting a meeting into segments such that each segment
contains discussions on exactly one agenda item is useful for tasks
such as retrieval and summarization of agenda item
discussions. However, accurate topic segmentation of meetings is a
difficult task. We are investigating the idea of acquiring implicit
supervision from human meeting participants to solve the segmentation
problem. Specifically we have implemented and tested SmartNotes - a
note taking interface that gives value to users by helping them
organize and retrieve their notes easily, but that also extracts a
segmentation of the meeting based on the humans' note taking
behavior. In this talk I will report on our experiments with this
notes-based segmentation. I will show that the notes based
segmentation improves over an unsupervised baseline by 45% relative,
and also compares favorably with a current state-of-the-art algorithm.

This research has been conducted with the guidance of
Alex Rudnicky. This talk is in partial fulfillment of my LTI speaking
requirement, and is also a practice talk for the Intelligent User
Interfaces conference.