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.
Keywords
TreebankPronounComputer scienceSyntaxResolution (logic)Natural language processingArtificial intelligenceParsingAlgorithmLinguistics
Affiliated Institutions
Related Publications
DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding
Recurrent neural nets (RNN) and convolutional neural nets (CNN) are widely used on NLP tasks to capture the long-term and local dependencies, respectively. Attention mechanisms ...
Monte Carlo sampling methods using Markov chains and their applications
A generalization of the sampling method introduced by Metropolis et al. (1953) is presented along with an exposition of the relevant theory, techniques of application and method...
Wave propagation and sampling theory; Part II, Sampling theory and complex waves
Abstract Morlet et al (1982, this issue) showed the advantages of using complex values for both waves and characteristics of the media. We simulated the theoretical tools we pre...
The neighbor-joining method: a new method for reconstructing phylogenetic trees.
A new method called the neighbor-joining method is proposed for reconstructing phylogenetic trees from evolutionary distance data. The principle of this method is to find pairs ...
dynesty: a dynamic nested sampling package for estimating Bayesian posteriors and evidences
ABSTRACT We present dynesty, a public, open-source, python package to estimate Bayesian posteriors and evidences (marginal likelihoods) using the dynamic nested sampling methods...
Publication Info
- Year
- 1999
- Type
- article
- Pages
- 602-605
- Citations
- 51
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
51
OpenAlex
4
Influential
18
CrossRef
Cite This
Joel Tetreault
(1999).
Analysis of syntax-based pronoun resolution methods.
Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics -
, 602-605.
https://doi.org/10.3115/1034678.1034688
Identifiers
- DOI
- 10.3115/1034678.1034688