Paper: Abstractive Summarization of Spoken and Written Conversations Based on Phrasal Queries

ACL ID P14-1115
Title Abstractive Summarization of Spoken and Written Conversations Based on Phrasal Queries
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

Abstractive Summarization of Spoken and Written Conversations Based on Phrasal Queries Yashar Mehdad Giuseppe Carenini Raymond T. Ng Department of Computer Science, University of British Columbia Vancouver, BC, V6T 1Z4, Canada {mehdad, carenini, rng}@cs.ubc.ca Abstract We propose a novel abstractive query- based summarization system for conversa- tions, where queries are defined as phrases reflecting a user information needs. We rank and extract the utterances in a con- versation based on the overall content and the phrasal query information. We clus- ter the selected sentences based on their lexical similarity and aggregate the sen- tences in each cluster by means of a word graph model. We propose a ranking strat- egy to select the best path in the con- structed graph as a query-based abs...