Sentence Compression Beyond Word Deletion

In this paper we generalise the sentence compression task. Rather than simply 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-totree transduction model that can naturally account for structural and lexical mismatches. The model incorporates a novel grammar extraction method, uses a language model for coherent output, and can be easily tuned to a wide range of compression specific loss functions.

• Type: Conference
• Year: 2008
• Where: COLING
• Authors: Trevor Cohn, Mirella Lapata
• Keywords: COLING 2008, Compression Specific Loss, Computational Linguistics, Discriminative Tree-totree Transduction, Sentence Compression Task