Whitney Gegg-Harrison


PYCOT: An Optimality Theory-based Pronoun Resolution Toolkit
Whitney Gegg-Harrison | Donna K. Byron
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

In this paper, we present PYCOT, a pronoun resolution toolkit. This toolkit is written in the Python programming language and is intended to be an addition to the open-source NLTK collection of natural language processing tools. We discuss the design of the module as well as studies of its performance on pronoun resolution in English and in Korean.


Identifying Non-Referential it: A Machine Learning Approach Incorporating Linguistically Motivated Patterns
Adriane Boyd | Whitney Gegg-Harrison | Donna Byron
Proceedings of the ACL Workshop on Feature Engineering for Machine Learning in Natural Language Processing