For the task of recognizing dialogue acts, we are applying the Transformation-Based Learning (TBL) machine learning algorithm. To circumvent a sparse data problem, we extract valu...
The study presented here relies on the integrated use of different kinds of knowledge in order to improve first-guess accuracy in non-word context-sensitive correction for general...
FrameNet is a three-year NSF-supported project in corpus-based computational lexicography, now in its second year NSF IRI-9618838, Tools for Lexicon Building". The project...
Collin F. Baker, Charles J. Fillmore, John B. Lowe
This paper describes a new scoring algorithm that supports comparison of linguistically annotated data from noisy sources. The new algorithm generalizes the Message Understanding ...
John D. Burger, David D. Palmer, Lynette Hirschman
This study exploits statistical redundancy inherent in natural language to automatically predict scores for essays. We use a hybrid feature identification method, including syntac...
Jill Burstein, Karen Kukich, Susanne Wolff, Chi Lu...