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ManyEnt: A Dataset for Few-shot Entity Typing

2020-12-01COLING 2020Code Available0· sign in to hype

Markus Eberts, Kevin Pech, Adrian Ulges

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Abstract

We introduce ManyEnt, a benchmark for entity typing models in few-shot scenarios. ManyEnt offers a rich typeset, with a fine-grain variant featuring 256 entity types and a coarse-grain one with 53 entity types. Both versions have been derived from the Wikidata knowledge graph in a semi-automatic fashion. We also report results for two baselines using BERT, reaching up to 70.68\% accuracy (10-way 1-shot).

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