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Knowledge Extraction From Texts Based on Wikidata

2022-07-01NAACL (ACL) 2022Code Available1· sign in to hype

Anastasia Shimorina, Johannes Heinecke, Frédéric Herledan

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Abstract

This paper presents an effort within our company of developing knowledge extraction pipeline for English, which can be further used for constructing an entreprise-specific knowledge base. We present a system consisting of entity detection and linking, coreference resolution, and relation extraction based on the Wikidata schema. We highlight existing challenges of knowledge extraction by evaluating the deployed pipeline on real-world data. We also make available a database, which can serve as a new resource for sentential relation extraction, and we underline the importance of having balanced data for training classification models.

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