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tonytan48/Re-DocRED

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Re-DocRED Dataset This repository contains the dataset of our EMNLP 2022 research paper Revisiting DocRED – Addressing the False Negative Problem in Relation Extraction.

Description

DocRED is a widely used benchmark for document-level relation extraction. However, the DocRED dataset contains a significant percentage of false negative examples (incomplete annotation).

We revised 4,053 documents in the DocRED dataset and resolved its problems. We released this dataset as: Re-DocRED dataset. The… See the full description on the dataset page: huggingface.co/datasets/tonytan48/Re-DocRED.

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Hugging Face Datasetstonytan48/Re-DocRED15 d agoJSON v1
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