dterg / cellfinder

This corpus contains 10 PubMed Central full text annotated in the stem cell domain.

#CellFinder corpus

Version 1.0:

The first version of our corpus is composed of 10 full text documents containing more than 2,100 sentences, 65,000 tokens and 5,200 annotations for entities. The corpus has been annotated with six types of entities (anatomical parts, cell components, cell lines, cell types, genes/protein and species) with an overall inter-annotator agreement around 80%.

For more details about the corpus and the text mining experiments carried out on it, please check the publication below. Please cite it if you have used this corpus.

Mariana Neves, Alexander Damaschun, Andreas Kurtz, Ulf Leser. Annotating and evaluating text for stem cell research. Third Workshop on Building and Evaluation Resources for Biomedical Text Mining (BioTxtM 2012) at Language Resources and Evaluation (LREC) 2012.