Abstract
The development of text mining techniques for biomedical research literature has received increased attention in recent times. However, most of these techniques focus on prose, while much important biomedical data reside in tables. In this paper, we present a corpus created to serve as a gold standard for the development and evaluation of techniques for the automatic extraction of information from biomedical tables. We describe the guidelines used for corpus annotation and the manner in which they were developed. The high inter-annotator agreement achieved on the corpus, and the generic nature of our annotation approach, suggest that the developed guidelines can serve as a general framework for table annotation in biomedical and other scientific domains. The annotated corpus and the guidelines are available at http://www.csse.monash.edu.au/research/umnl/data/index.shtml.
Original language | English |
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Title of host publication | Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM 2016) |
Subtitle of host publication | Proceedings of the Workshop, December 11-16 2016, Osaka, Japan |
Editors | Sophia Ananiadou, Riza Batista-Navarro, Kevin Bretonnel Cohen, Dina Demner-Fushman, Paul Thompson |
Pages | 81-90 |
Number of pages | 10 |
Publication status | Published - 2016 |
Event | Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining - Osaka, Japan Duration: 11 Dec 2016 → 16 Dec 2016 |
Conference
Conference | Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining |
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Country | Japan |
City | Osaka |
Period | 11/12/16 → 16/12/16 |