Paper: A Comparison of Model Free versus Model Intensive Approaches to Sentence Compression

ACL ID D09-1041
Title A Comparison of Model Free versus Model Intensive Approaches to Sentence Compression
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2009
Authors
  • Tadashi Nomoto (National Institute of Japanese Literature, Tokyo Japan)

This work introduces a model free approach to sentence compression, which grew out of ideas from Nomoto (2008), and examines how it com- pares to a state-of-art model intensive approach known as Tree-to-Tree Transducer, or T3 (Cohn and Lapata, 2008). It is found that a model free approach significantly outperforms T3 on the par- ticular data we created from the Internet. We also discuss what might have caused T3’s poor perfor- mance.