Purver Matthew, Ehlen Patrick, Niekrasz John. Shallow Discourse Structure for Action Item Detection, in Proceedings of the HLT-NAACL 2006 Workshop on Analyzing Conversations in Text and Speech, Association for Computational Linguistics, pp. 31-34, 2006.
Abstract
We investigated automatic action item detection from transcripts of multi-party meetings. Unlike previous work (Gruenstein et al., 2005), we use a new hierarchical annotation scheme based on the roles utterances play in the action item assignment process, and propose an approach to automatic detection that promises improved classification accuracy while enabling the extraction of useful information for summarization and reporting.