Work

A probabilistic model for associative anaphora resolution

Year: 2009

Type: conference-paper

Abstract: This paper proposes a probabilistic model for associative anaphora resolution in Japanese. Associative anaphora is a type of bridging anaphora, in which the anaphor and its antecedent are not coreferent. Our model regards associative anaphora as a kind of zero anaphora and resolves it in the same manner as zero anaphora resolution using automatically acquired lexical knowledge. Experimental results show that our model resolves associative anaphora with good performance and the performance is improved by resolving it simultaneously with zero anaphora.

Source: Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI: 10.3115/1699648.1699692

Authors: Ryohei Sasano, Sadao Kurohashi

Institution: Kyoto University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W2135145133

FWCI: 0.939

Cites: 26

Cited by: 13

Related to: 10