80 datasets found

The dataset comprises 13 full-text novels tagged with protagonistTagger that comprises more than 35,000 mentions of literary characters.

The dataset comprises 1,300 sentences from 13 classic novels of different genres that a novel reader had manually annotated.

MedCATTrainer is a web-based interface for inspecting, adding and correcting biomedical NER+L models through active learning. An additional interface allows research specific...

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 FIGER dataset contains 2M data samples labeled with 113 types.

The OntoNotes dataset contains 3.4M automatically labeled entity mentions for training and 11k manually annotated instances that are split into 8k for dev set and 2k for test set.

The Recipe1M+ dataset is a large collection of culinary recipes labeled in respective categories with extended named entities extracted from recipe descriptions.

The 3A2M dataset is a large collection of culinary recipes labeled in respective categories with extended named entities extracted from recipe descriptions.

The 3A2M+ dataset is a large collection of culinary recipes labeled in respective categories with extended named entities extracted from recipe descriptions.

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

The dataset consists of tweets posted by 212 Twitter users during and after their pregnancy.

The dataset consists of tweets posted by 212 Twitter users during and after their pregnancy.

The dataset consists of tweets posted by 212 Twitter users during and after their pregnancy.

The dataset consists of tweets posted by 212 Twitter users during and after their pregnancy.

The dataset consists of tweets posted by 212 Twitter users during and after their pregnancy.

The dataset consists of all tweets posted by 212 Twitter users during and after their pregnancy.