18 datasets found

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

A dataset of 4,993 RCT abstracts sourced from the MedLine with a general focus on the domain areas of cardiovascular disease, autism and cancer.

A dataset of almost 600 result sentences from published RCT abstracts across six disease areas.

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

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 a knowledge graph dataset, specifically the Freebase dataset, which is a large-scale knowledge graph. The dataset is used for multi-hop path...

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.

The dataset used in the paper for named entity recognition, end-to-end relation extraction, and coreference resolution.

The proposed model uses the i2b2-2010 clinical relation extraction challenge dataset to evaluate its performance.

The i2b2-2010 clinical relation extraction challenge dataset is used to evaluate the proposed model for extracting relations among clinical entities in clinical texts.

A joint information extraction dataset providing entity, relation, and event annotation for three languages: English, Chinese, and Arabic.

Knowledge graphs store a wealth of knowledge from the real world into structured graphs, which consist of collections of triplets, and each triplet (h, r, t) represents that...

A dataset for relation extraction, containing 53 relation categories, including a negative relation.

A dataset for relation extraction, containing 454 target relation categories, including the negative relation.

The GIDS dataset is a benchmark dataset for relation extraction, created by Jat et al. (2018) by extending the Google relation extraction corpus.

The Riedel dataset is a benchmark dataset for relation extraction, developed by Riedel et al. (2010) by aligning Freebase relations with New York Times corpus.