@InProceedings{kaur-molla:2018:LOUHI,
  author    = {Kaur, Mandeep  and  Molla, Diego},
  title     = {Supervised Machine Learning for Extractive Query Based Summarisation of Biomedical Data},
  booktitle = {Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis},
  month     = {October},
  year      = {2018},
  address   = {Brussels, Belgium},
  publisher = {Association for Computational Linguistics},
  pages     = {29--37},
  abstract  = {The automation of text summarisation of biomedical publications is a pressing need due to the plethora of information available on-line. This paper explores the impact of several supervised machine learning approaches for extracting multi-document summaries for given queries. In particular, we compare classification and regression approaches for query-based extractive summarisation using data provided by the BioASQ Challenge. We tackled the problem of annotating sentences for training classification systems and show that a simple annotation approach outperforms regression-based summarisation.},
  url       = {http://www.aclweb.org/anthology/W18-5604}
}