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Towards the Detection of Reliable Food-Health Relationships

  • 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.

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Author:Michael WiegandGND, Dietrich Klakow
Parent Title (English):Proceedings of the Workshop on Language Analysis in Social Media, 13 June 2013, Atlanta, Georgia
Publisher:Association for Computational Linguistics
Place of publication:Stroudsburg, PA
Document Type:Conference Proceeding
Year of first Publication:2013
Date of Publication (online):2019/02/04
Creating Corporation:Association for Computational Linguistics
GND Keyword:Computerlinguistik; Information Extraction; Korpus <Linguistik>; Lebensmittel; Natürliche Sprache
First Page:69
Last Page:79
Dewey Decimal Classification:400 Sprache / 400 Sprache, Linguistik
Open Access?:ja
Licence (German):Es gilt das UrhG