Understanding the Dynamics of Collaborative Multi-Party Discourse
In this manuscript, we discuss the efforts underway at the Pacific Northwest National Laboratory in understanding the dynamics of multi-party discourse across a number of communication mo-dalities, such as email, instant messaging traffic and meeting data. Two prototype systems are dis-cussed. The Conversation Analysis Tool (ChAT) is an experimental test-bed for the development of computational linguistic components, and provides users with the ability to easily identify top-ics or persons of interest within multi-party conversations, including who talked to whom, when, entities that were discussed, etc. The Retrospective Analysis of Communication Events (RACE) prototype, leveraging many of the ChAT components, is an application built specifically for knowledge workers and focuses on merging different types of communications data so that the underlying message can be discovered in an efficient, timely fashion.
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 927500
- Report Number(s):
- PNNL-SA-50834; TRN: US200811%%161
- Journal Information:
- Information Visualization, 5(4):250-259, Vol. 5, Issue 4
- Country of Publication:
- United States
- Language:
- English
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