46 datasets found

The dataset used for evaluation of the proposed model.

The GENIA dataset is a biological dataset including five entity types: DNA, RNA, protein, cell lineage, and cell type.

The dataset used for evaluation of the proposed model.

Named Entity Recognition in Electronic Health Records using Transfer Learning Bootstrapped Neural Networks

The dataset includes a larger set of English Wikipedia documents, which are tagged with named entities.

The ClubFloyd dataset is a collection of human transcripts of text-based games, used to train action candidate generators.

Global pointer: Novel efficient span-based approach for named entity recognition.

The i2b2 2014 dataset is a large-scale dataset for de-identifying protected health information.

The dataset used to evaluate the performance of the UmlsBERT model on i2b2 NER tasks.

The dataset used to evaluate the performance of the UmlsBERT model on i2b2 NER tasks.

The dataset used to evaluate the performance of the UmlsBERT model on i2b2 NER tasks.

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

Twitter Name Tagging (TNT) and Broad Twitter Corpus (BTC) datasets are used for named entity recognition in social media.

This dataset is used for Named Entity Recognition (NER) tasks.

This dataset is used for Named Entity Recognition (NER) tasks.

The LaptopReview dataset contains 3,012 mentions to laptop features.

The CoNLL 2003 dataset is a collection of news-wire articles used for sequence labeling tasks.

The BC5CDR dataset consists of 1,500 PubMed articles, which has been separated into training set (500), development set (500), and test set (500). The dataset contains 15,935...

Probase is a probabilistic knowledge base and it contains millions of entities and concepts. One of the advantages of Probase is that in comparison with the well-known knowledge...

The Seungjeongwon corpus is a historical corpus that contains the diary of a royal secretary from the Joseon Dynasty, with annotated named entities and punctuation markers.