Konferenzbeitrag
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.
- Language
-
Englisch
Klakow, Dietrich
- URN
-
urn:nbn:de:bsz:mh39-84660
- Last update
-
14.09.2023, 8:26 AM CEST
Object type
- Konferenzbeitrag
Associated
- Wiegand, Michael
- Klakow, Dietrich
- Stroudsburg, PA : Association for Computational Linguistics
Time of origin
- 2019-02-04