Entity Linking with people entity on Wikipedia

TL;DR

This paper presents a domain-specific entity linking model for Wikipedia people pages that incorporates pronouns as entities, outperforming baseline models and providing a clean dataset for future research.

Contribution

The paper introduces two new models for linking people entities on Wikipedia, including pronouns as entities, and provides a curated dataset for this domain.

Findings

Both models significantly outperform the baseline.

Inclusion of pronouns as entities improves linking accuracy.

Created a dataset of 50 Wikipedia people pages.

Abstract

This paper introduces a new model that uses named entity recognition, coreference resolution, and entity linking techniques, to approach the task of linking people entities on Wikipedia people pages to their corresponding Wikipedia pages if applicable. Our task is different from general and traditional entity linking because we are working in a limited domain, namely, people entities, and we are including pronouns as entities, whereas in the past, pronouns were never considered as entities in entity linking. We have built 2 models, both outperforms our baseline model significantly. The purpose of our project is to build a model that could be use to generate cleaner data for future entity linking tasks. Our contribution include a clean data set consisting of 50Wikipedia people pages, and 2 entity linking models, specifically tuned for this domain.