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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| 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): |  Creative Commons - Attribution-NonCommercial-ShareAlike 3.0 Unported |