Paper: Coreference-inspired Coherence Modeling

ACL ID P08-2011
Title Coreference-inspired Coherence Modeling
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2008

Research on coreference resolution and sum- marization has modeled the way entities are realized as concrete phrases in discourse. In particular there exist models of the noun phrase syntax used for discourse-new versus discourse-old referents, and models describ- ing the likely distance between a pronoun and its antecedent. However, models of discourse coherence, as applied to information ordering tasks, have ignored these kinds of information. We apply a discourse-new classifier and pro- noun coreference algorithm to the information ordering task, and show significant improve- ments in performance over the entity grid, a popular model of local coherence.