Paper: A High-Performance Coreference Resolution System Using A Constraint-Based Multi-Agent Strategy

ACL ID C04-1075
Title A High-Performance Coreference Resolution System Using A Constraint-Based Multi-Agent Strategy
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2004
Authors

This paper presents a constraint-based multi- agent strategy to coreference resolution of general noun phrases in unrestricted English text. For a given anaphor and all the preceding referring expressions as the antecedent candidates, a common constraint agent is first presented to filter out invalid antecedent candidates using various kinds of general knowledge. Then, according to the type of the anaphor, a special constraint agent is proposed to filter out more invalid antecedent candidates using constraints which are derived from various kinds of special knowledge. Finally, a simple preference agent is used to choose an antecedent for the anaphor form the remaining antecedent candidates, based on the proximity principle. One interesting observation is that the most recent antecedent of ...