GENIA POS & Term Corpus

A corpus of 2,000 MEDLINE abstracts, collected using the three MeSH terms human, blood cells and transcription factors. The corpus is available in three formats: 1) A text file containing part-of-speech (POS) annotation, based on the Penn Treebank format, 2) An XML file containing inline POS anno...

Resource Type:Corpus
Media Type:Text
Language:English
GREC

GREC is a semantically annotated corpus of 240 MEDLINE abstracts (167 on the subject of E. coli species and 73 on the subject of the Human species) which is intended for training IE systems and/or resources which are used to extract events from biomedical literature.

Resource Type:Corpus
Media Type:Text
Language:English
Laws of Malta - English

The corpus contains the Laws of Malta in English from the official government website. The unannotated raw text files were extracted from the pdf files that can be found on the website.

Resource Type:Corpus
Media Type:Text
Language:English

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