Paper: Modelling Events through Memory-based, Open-IE Patterns for Abstractive Summarization

ACL ID P14-1084
Title Modelling Events through Memory-based, Open-IE Patterns for Abstractive Summarization
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

for Abstractive Summarization Daniele Pighin Google Inc. biondo@google.com Marco Cornolti ? University of Pisa, Italy cornolti@di.unipi.it Enrique Alfonseca Google Inc. ealfonseca@google.com Katja Filippova Google Inc. katjaf@google.com Abstract Abstractive text summarization of news requires a way of representing events, such as a collection of pattern clusters in which every cluster represents an event (e.g., marriage) and every pattern in the clus- ter is a way of expressing the event (e.g., X married Y, X and Y tied the knot). We compare three ways of extracting event patterns: heuristics-based, compression- based and memory-based. While the for- mer has been used previously in multi-