Incorporating Context and External Knowledge for Pronoun Coreference Resolution

2019/05/24 by Hongming Zhang, Yan Song, Zhang, Hongming +3 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling

paper · pdf · doi:10.48550/arxiv.1905.10238

openalex publication_date 2019/05/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Linking pronominal expressions to the correct references requires, in many cases, better analysis of the contextual information and external knowledge. In this paper, we propose a two-layer model for pronoun coreference resolution that leverages both context and external knowledge, where a knowledge attention mechanism is designed to ensure the model leveraging the appropriate source of external knowledge based on different context. Experimental results demonstrate the validity and effectiveness of our model, where it outperforms state-of-the-art models by a large margin.

Citations

• Long Short-Term Memory
• ASER: A Large-scale Eventuality Knowledge Graph

Cited by

• EMODIS: A Benchmark for Context-Dependent Emoji Disambiguation in Large Language Models
• Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing

Related

• Knowledge-aware Pronoun Coreference Resolution
• A Brief Survey and Comparative Study of Recent Development of Pronoun Coreference Resolution
• Model-based annotation of coreference
• Enhancing Coreference Resolution with Pretrained Language Models: Bridging the Gap Between Syntax and Semantics
• Solving Hard Coreference Problems