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Knowledge Acquisition with Natural Language Processing in the Food Domain: Potential and Challenges

  • In this paper, we present an outlook on the effectiveness of natural language processing (NLP) in extracting knowledge for the food domain. We identify potential scenarios that we think are particularly suitable for NLP techniques. As a source for extracting knowledge we will highlight the benefits of textual content from social media. Typical methods that we think would be suitable will be discussed. We will also address potential problems and limits that the application of NLP methods may yield.

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Metadaten
Author:Michael WiegandGND, Benjamin Roth, Dietrich Klakow
URN:urn:nbn:de:bsz:mh39-86207
URL:https://projet.liris.cnrs.fr/cwc/cwc2012/submissions.html
Parent Title (English):Proceedings of the Cooking with Computers workshop (CwC), August 28, 2012, Montpellier, France
Publisher:LIRMM
Place of publication:Montpellier
Editor:Amélie Cordier, Emmanuel Nauer
Document Type:Conference Proceeding
Language:English
Year of first Publication:2012
Date of Publication (online):2019/03/19
Publicationstate:Veröffentlichungsversion
Reviewstate:Peer-Review
GND Keyword:Information Extraction; Lebensmittel; Natürliche Sprache; Text Mining
First Page:46
Last Page:51
DDC classes:400 Sprache / 400 Sprache, Linguistik
Open Access?:ja
Linguistics-Classification:Computerlinguistik
Licence (English):License LogoCreative Commons - Attribution-NonCommercial-ShareAlike 3.0 Unported