Papers by Alberto Cetoli

1 papers
Exploring the zero-shot limit of FewRel (2020.coling-main)

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Challenge: Existing methods to extract information from a language model are limited in their ability to generalize and do not perform as well as few-shot learning models.
Approach: They propose a general purpose relation extractor that uses Wikidata descriptions to represent the relation’s surface form.
Outcome: The proposed system is based on a FewRel 1.0 dataset, which provides an excellent framework for training and evaluating the proposed system in English.

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