29 datasets found

The Wiki20m dataset is derived from Wiki20 by reorganizing its relation facts and redividing its training, validation, and test sets.

The dataset used in the paper for zero-shot classification tasks in information extraction.

The NYT10m dataset is a large-scale dataset derived from NYT10 by cleaning the dataset and separating the validation set from the training set.

The Knowledge-Enhanced Relation Extraction Dataset (KERED) annotates each sentence with a relational fact, and it provides knowledge context for entities through entity linking.

The ACE and CoNLL04 datasets are widely used entity-relation extraction benchmarks.

A dataset for scientific keyphrase extraction and extraction.

Manually annotated corpus of 1676 newswire texts in French for quotation extraction and source attribution.

The dataset used in the paper is AIMed, BioInfer, LocText and unlabeled data.

Relation extraction financial dataset

The RuREBus corpus is a dataset of strategic planning documents issued by the Ministry of Economic Development of the Russian Federation.

The TACRED dataset is a large supervised relation extraction dataset collected in 2009-2015.

ENTITYRE dataset for distant supervision of relation extraction

TIMERE dataset for distant supervision of relation extraction

Distantly supervised relation extraction task using dynamic transition matrix

The dataset used in the paper is the CoNLL04 dataset, which is a benchmark for relation and entity recognition.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a few-shot relation extraction task (TACRED) and a few-shot variant of TACRED.

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