Tracking dragon-hunters with language models

Anton Leuski, Victor Lavrenko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

We are interested in the problem of understanding the connections between human activities and the content of textual information generated in regard to those activities. Firstly, we define and motivate this problem as an important part in making sense of various life events. Secondly, we introduce the domain of massive online collaborative environments, specifically online virtual worlds, where people meet, exchange messages, and perform actions as a rich data source for such an analysis. Finally, we outline three experimental tasks and show how statistical language modeling and text clustering techniques may allow us to explore those connections successfully.
Original languageEnglish
Title of host publicationCIKM 2006
Subtitle of host publicationProceedings of the 15th ACM International Conference on Information and Knowledge Management, Arlington, Virginia, USA, November 6-11, 2006
PublisherACM
Pages698-707
Number of pages10
ISBN (Print)1-59593-433-2
DOIs
Publication statusPublished - Nov 2006

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