@InProceedings{shmanina-EtAl:2016:BioTxtM2016,
  author    = {Shmanina, Tatyana  and  Zukerman, Ingrid  and  Cheam, Ai Lee  and  Bochynek, Thomas  and  Cavedon, Lawrence},
  title     = {A Corpus of Tables in Full-Text Biomedical Research Publications},
  booktitle = {Proceedings of the Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM2016)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {70--79},
  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.},
  url       = {http://aclweb.org/anthology/W16-5108}
}