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
Subject
Computerlinguistik
Event
Geistige Schöpfung
(who)
Wiegand, Michael
Klakow, Dietrich
Klakow, Dietrich
(when)
2019-02-04
Event
Veröffentlichung
(who)
Stroudsburg, PA : Association for Computational Linguistics
- 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
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The Role of Knowledge-based Features in Polarity Classification at Sentence Level
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