Konferenzbeitrag

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

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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.

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

Urheber*in: Wiegand, Michael; Roth, Benjamin; Klakow, Dietrich

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Language
Englisch

Subject
Lebensmittel
Natürliche Sprache
Information Extraction
Text Mining
Sprache

Event
Geistige Schöpfung
(who)
Wiegand, Michael
Roth, Benjamin
Klakow, Dietrich
Event
Veröffentlichung
(who)
Montpellier : LIRMM
(when)
2019-03-19

URN
urn:nbn:de:bsz:mh39-86207
Last update
06.03.2025, 9:00 AM CET

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Object type

  • Konferenzbeitrag

Associated

  • Wiegand, Michael
  • Roth, Benjamin
  • Klakow, Dietrich
  • Montpellier : LIRMM

Time of origin

  • 2019-03-19

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