Analysis of syntax-based pronoun resolution methods
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
A pronoun resolution algorithm that adheres to the constraints and rules of Centering Theory and is an alternative to Brennan et al.'s 1987 algorithm, the Left-Right Centering Algorithm (LRC), which is compared with three other pronoun resolution methods.
Abstract
This paper presents a pronoun resolution algorithm that adheres to the constraints and rules of Centering Theory (Grosz et al., 1995) and is an alternative to Brennan et al.'s 1987 algorithm. The advantages of this new model, the Left-Right Centering Algorithm (LRC), lie in its incremental processing of utterances and in its low computational overhead. The algorithm is compared with three other pronoun resolution methods: Hobbs' syntax-based algorithm, Strube's S-list approach, and the BFP Centering algorithm. All four methods were implemented in a system and tested on an annotated subset of the Treebank corpus consisting of 2026 pronouns. The noteworthy results were that Hobbs and LRC performed the best.