Large Margin Synchronous Generation and its Application to Sentence Compression

This paper presents a tree-to-tree transduction method for text rewriting. Our model is based on synchronous tree substitution grammar, a formalism that allows local distortion of the tree topology and can thus naturally capture structural mismatches. We describe an algorithm for decoding in this framework and show how the model can be trained discriminatively within a large margin framework. Experimental results on sentence compression bring significant improvements over a state-of-the-art model.

• Type: Conference
• Year: 2007
• Where: EMNLP
• Authors: Trevor Cohn, Mirella Lapata
• Keywords: Capture Structural Mismatches, EMNLP 2007, Natural Language Processing, Synchronous Tree Substitution, Tree-to-tree Transduction Method