Abstract
| Original language | English |
|---|---|
| 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 |
|---|---|
| Country | Japan |
| City | Osaka |
| Period | 11/12/16 → 16/12/16 |
Cite this
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A corpus of tables in full-text biomedical research publications. / Shmanina, Tatyana; Zukerman, Ingrid; Cheam, Ai Lee; Bochynek, Thomas; Cavedon, Lawrence.
Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM 2016): Proceedings of the Workshop, December 11-16 2016, Osaka, Japan. ed. / Sophia Ananiadou; Riza Batista-Navarro; Kevin Bretonnel Cohen; Dina Demner-Fushman; Paul Thompson. 2016. p. 81-90.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research
TY - GEN
T1 - A corpus of tables in full-text biomedical research publications
AU - Shmanina, Tatyana
AU - Zukerman, Ingrid
AU - Cheam, Ai Lee
AU - Bochynek, Thomas
AU - Cavedon, Lawrence
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
UR - http://www.nactem.ac.uk/biotxtm2016/index.php
M3 - Conference Paper
SN - 9784879747198
SP - 81
EP - 90
BT - Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM 2016)
A2 - Ananiadou, Sophia
A2 - Batista-Navarro, Riza
A2 - Cohen, Kevin Bretonnel
A2 - Demner-Fushman, Dina
A2 - Thompson, Paul
ER -