Paper: Interpretation and Transformation for Abstracting Conversations

ACL ID N10-1132
Title Interpretation and Transformation for Abstracting Conversations
Venue Human Language Technologies
Session Main Conference
Year 2010
Authors

ng Conversations Gabriel Murray gabrielm@cs.ubc.ca Giuseppe Carenini carenini@cs.ubc.ca Department of Computer Science, University of British Columbia Vancouver, Canada Raymond Ng rng@cs.ubc.ca Abstract We address the challenge of automatically ab- stracting conversations such as face-to-face meetings and emails. We focus here on the stages of interpretation, where sentences are mapped to a conversation ontology, and transformation, where the summary content is selected. Our approach is fully developed and tested on meeting speech, and we subse- quently explore its application to email con- versations.