@inproceedings{WiegandKlakow2019,
  author    = {Michael Wiegand and Dietrich Klakow},
  title     = {Towards the Detection of Reliable Food-Health Relationships},
  series = {Proceedings of the Workshop on Language Analysis in Social Media, 13 June 2013, Atlanta, Georgia},
  publisher = {Association for Computational Linguistics},
  address   = {Stroudsburg, PA},
  organization    = {Association for Computational Linguistics},
  isbn      = {978-1-937284-47-3},
  url       = {https://nbn-resolving.org/urn:nbn:de:bsz:mh39-84660},
  pages     = {69 -- 79},
  year      = {2019},
  abstract  = {We investigate the task of detecting reliable statements about food-health relationships from natural language texts. For that purpose, we created a specially annotated web corpus from forum entries discussing the healthiness of certain food items. We examine a set of task-specific features (mostly) based on linguistic insights that are instrumental in finding utterances that are commonly perceived as reliable. These features are incorporated in a supervised classifier and compared against standard features that are widely used for various tasks in natural language processing, such as bag of words, part-of speech and syntactic parse information.},
  language  = {en}
}