Work

Exploiting Zero Pronouns to Improve Chinese Coreference Resolution

Year: 2013

Type: conference-paper

Abstract: Coreference resolution plays a critical role in discourse analysis.This paper focuses on exploiting zero pronouns to improve Chinese coreference resolution.In particular, a simplified semantic role labeling framework is proposed to identify clauses and to detect zero pronouns effectively, and two effective methods (refining syntactic parser and refining learning example generation) are employed to exploit zero pronouns for Chinese coreference resolution.Evaluation on the CoNLL-2012 shared task data set shows that zero pronouns can significantly improve Chinese coreference resolution.

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

DOI: 10.18653/v1/d13-1028

Authors: Fang Kong, Hwee Tou Ng

Institution: National University of Singapore

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Research Foundation, National Research Foundation Singapore

OpenAlex ID: W2159100651