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 |
|---|---|
| URN: | urn:nbn:de:bsz:mh39-84660 |
| URL: | https://aclanthology.org/W13-1100/ |
| ISBN: | 978-1-937284-47-3 |
| 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 |
| Language: | English |
| Year of first Publication: | 2013 |
| Date of Publication (online): | 2019/02/04 |
| Creating Corporation: | Association for Computational Linguistics |
| Publicationstate: | Veröffentlichungsversion |
| Reviewstate: | Peer-Review |
| GND Keyword: | Computerlinguistik; Information Extraction; Korpus <Linguistik>; Lebensmittel; Natürliche Sprache |
| First Page: | 69 |
| Last Page: | 79 |
| DDC classes: | 400 Sprache / 400 Sprache, Linguistik |
| Open Access?: | ja |
| Linguistics-Classification: | Computerlinguistik |
| Licence (German): |  Urheberrechtlich geschützt |