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Author Banerjee, Satanjeev ♦ Rudnicky, Alexander I.
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Typical Meeting ♦ Carnegie Mellon University ♦ Automatic Meeting Understanding ♦ Future Date Someone ♦ Note Retrieval System ♦ Implicit Labeling ♦ Satisfaction Rate ♦ Previous Survey ♦ Note Afterwards ♦ Large Number ♦ Average Meeting Participant ♦ Multi Medium Note ♦ Easy Task ♦ Meeting Data ♦ Busy Professor ♦ Study Participant ♦ User Interaction ♦ Past Meeting ♦ Smartnotes System
Description We have built SmartNotes, a system with two goals: first to help users take multi– media notes during meetings and browse those notes afterwards, and second to acquire labeled data from users ’ interactions with the system with which to later improve the performance of components that perform automatic meeting understanding. SmartNotes consists of a stand–alone laptop based note taking system, and a web based note retrieval system. We shall demonstrate both systems, and will also show the kinds of labeled data that get created during typical meetings and browsing sessions. 1 Goals of the SmartNotes System Most institutions hold a large number of meetings every day. Of these meetings, many are important, where we can define a meeting as important if at a future date someone in the institution needs to recall details discussed at the meeting. In a previous survey (Banerjee et al., 2005) of busy professors at Carnegie Mellon University we showed that on average meeting participants needed to recall details of past meetings about twice a month. Performing such retrieval is not an easy task. It is time consuming (in our study participants took on average between 15 minutes to an hour to recall the information), and worse, the results of the retrieval are unsatisfactory (satisfaction rates varied between 3.4 to 4 on a scale of 0 to 5, with 5 being completely satisfactory).
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2006-01-01
Publisher Institution In: Proceedings of the Human Language Techonolgy Conference of the NAACL (2006) (companion volume