The Importance of Lexicalized Syntax Models for Natural Language Generation Tasks
Hal Daynem, Kevin K. Knight, Irene Langkilde-Geary, Daniel Marcu, Kenji Yamada · 2002
The parsing community has long recognized the importance of lexicalized models of syntax. By contrast, these models do not appear to have had an impact on the statistical NLG community. To prove their importance in NLG, we show that a lexicalized model of syntax improves the performance of a statistical text compression system, and show results that suggest it would also improve the performances of an MT application and a pure natural language generation system.