Thesis (Ph. D.)--University of Rochester. Dept. of Computer Science, 2004. Simultaneously published in the Technical Report series.
This thesis describes an implemented technique for resolving anaphoric pronouns referring to both individual and abstract entities. The model defines rules for evoking high-order entities from discourse and also a pronoun resolution method that is appropriate for both demonstrative and personal pronouns. It correctly interprets 72% of the pronouns, while a previous leading technique is correct on only 37%, when tested on a corpus of task-oriented spoken dialog.
