Alex, Beatrice

Grover, Claire

Haddow, Barry

Kabadjov, Mijail

Klein, Ewan

Matthews, Michael

Roebuck, Stuart

Tobin, Richard

Wang, Xinglong

We report on two large corpora of semantically annotated full-text biomedical research papers created in order to develop information extraction (IE) tools for the TXM project. Both corpora have been annotated with a range of entities (CellLine, Complex, Developmental-Stage, Disease, DrugCompound, ExperimentalMethod, Fragment, Fusion, GOMOP, Gene, Modification, mRNAcDNA, Mutant, Protein, Tissue), normalisations of selected entities to the NCBI Taxonomy, RefSeq, EntrezGene, ChEBI and MeSH and enriched relations (protein-protein interactions, tissue expressions and fragment- or mutant-protein relations). While one corpus targets protein-protein interactions (PPIs), the focus of other is on tissue expressions (TEs). This paper describes the selected markables and the annotation process of the ITI TXM corpora, and provides a detailed breakdown of the inter-annotator agreement (IAA)

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The ITI TXM corpora:Tissue expressions and protein-protein interactions

https://www.pure.ed.ac.uk/ws/files/13614782/Alex_Grover_2008_The_ITI_TXM_Corpora_Tissue_Expressions_and_Protein_Protein_Interactions.pdf

The ITI TXM corpora:Tissue expressions and protein-protein interactions

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