TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Wiegand, Michael
A1  - Roth, Benjamin
A1  - Klakow, Dietrich
ED  - Cordier, Amélie
ED  - Nauer, Emmanuel
T1  - Knowledge Acquisition with Natural Language Processing in the Food Domain: Potential and Challenges
T2  - Proceedings of the Cooking with Computers workshop (CwC), August 28, 2012, Montpellier, France
N2  - 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.
KW  - Lebensmittel
KW  - Natürliche Sprache
KW  - Information Extraction
KW  - Text Mining
Y1  - 2012
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-86207
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-86207
UR  - https://projet.liris.cnrs.fr/cwc/cwc2012/submissions.html
SP  - 46
EP  - 51
PB  - LIRMM
CY  - Montpellier
ER  -