Paper: Sentence Compression Beyond Word Deletion

ACL ID C08-1018
Title Sentence Compression Beyond Word Deletion
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2008
Authors

In this paper we generalise the sen- tence compression task. Rather than sim- ply shorten a sentence by deleting words or constituents, as in previous work, we rewrite it using additional operations such as substitution, reordering, and insertion. We present a new corpus that is suited to our task and a discriminative tree-to- tree transduction model that can naturally account for structural and lexical mis- matches. The model incorporates a novel grammar extraction method, uses a lan- guage model for coherent output, and can beeasilytunedtoawiderangeofcompres- sion specific loss functions.