Paper: Towards Topic Labeling with Phrase Entailment and Aggregation

ACL ID N13-1018
Title Towards Topic Labeling with Phrase Entailment and Aggregation
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2013
Authors

We propose a novel framework for topic la- beling that assigns the most representative phrases for a given set of sentences cover- ing the same topic. We build an entailment graph over phrases that are extracted from the sentences, and use the entailment relations to identify and select the most relevant phrases. We then aggregate those selected phrases by means of phrase generalization and merging. We motivate our approach by applying over conversational data, and show that our frame- work improves performance significantly over baseline algorithms.