Paper: Better Twitter Summaries?

ACL ID N13-1047
Title Better Twitter Summaries?
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2013
Authors

This paper describes an approach to improve summaries for a collection of Twitter posts cre- ated using the Phrase Reinforcement (PR) Al- gorithm (Sharifi et al., 2010a). The PR algo- rithm often generates summaries with excess text and noisy speech. We parse these sum- maries using a dependency parser and use the dependencies to eliminate some of the excess text and build better-formed summaries. We compare the results to those obtained using the PR Algorithm.