The BioScope corpus: biomedical texts annotated for uncertainty, negation and their scopes.

ABSTRACT:

Background

Detecting uncertain and negative assertions is essential in most BioMedical Text Mining tasks where, in general, the aim is to derive factual knowledge from textual data. This article reports on a corpus annotation project that has produced a freely available resource for research on handling negation and uncertainty in biomedical texts (we call this corpus the BioScope corpus).

Results

The corpus consists of three parts, namely medical free texts, biological full papers and biological scientific abstracts. The dataset contains annotations at the token level for negative and speculative keywords and at the sentence level for their linguistic scope. The annotation process was carried out by two independent linguist annotators and a chief linguist--also responsible

SUBMITTER: Vincze V 

PROVIDER: S-EPMC2586758 | biostudies-literature | 2008 Nov

REPOSITORIES: biostudies-literature