Incorporating Context and External Knowledge for Pronoun Coreference Resolution
This addresses the problem of accurately linking pronouns to references in natural language processing, which is incremental as it builds on existing methods by incorporating external knowledge.
The paper tackles pronoun coreference resolution by proposing a two-layer model that leverages context and external knowledge with a knowledge attention mechanism, achieving state-of-the-art performance with a large margin improvement.
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.