Konferenzbeitrag

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.

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

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

Namensnennung - Nicht kommerziell - Weitergabe unter gleichen Bedingungen 4.0 International

0
/
0

Sprache
Englisch

Thema
Lebensmittel

Ereignis
Geistige Schöpfung
(wer)
Wiegand, Michael
Roth, Benjamin
Klakow, Dietrich
(wann)
2019-03-19
Ereignis
Veröffentlichung
(wer)
Montpellier : LIRMM

URN
urn:nbn:de:bsz:mh39-86207
Letzte Aktualisierung
14.09.2023, 08:26 MESZ

Objekttyp

  • Konferenzbeitrag

Beteiligte

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

Entstanden

  • 2019-03-19

Ähnliche Objekte (12)