Document (#40549)

Author
Geißler, S.
Title
Maschinelles Lernen und NLP : Reif für die industrielle Anwendung!
Source
Information - Wissenschaft und Praxis. 70(2019) H.2/3, S.134-140
Year
2019
Abstract
Anwendungen von maschinellen Lernverfahren (ML) haben in jüngster Zeit aufsehenerregende Durchbrüche bei einer ganzen Reihe von Aufgaben in der maschinellen Sprachverarbeitung (NLP) erzielt. Der Fokus vieler Arbeiten liegt hierbei in der Entwicklung immer besserer Modelle, während der Anteil der Aufgaben in praktischen Projekten, der sich nicht mit Modellbildung, sondern mit Themen wie Datenbereitstellung sowie Evaluierung, Wartung und Deployment von Modellen beschäftigt, oftmals noch nicht ausreichend Beachtung erfährt. Im Ergebnis fehlen gerade Unternehmen, die nicht die Möglichkeit haben, eigene Plattformen für den Einsatz von ML und NLP zu entwerfen, oft geeignete Werkzeuge und Best Practices. Es ist zeichnet sich ab, dass in den kommenden Monaten eine gerade diesen praktischen Fragen zugewandte Ingenieurssicht auf ML und ihren Einsatz im Unternehmen an Bedeutung gewinnen wird.
Content
Vgl.: https://doi.org/10.1515/iwp-2019-2007.
Theme
Computerlinguistik
Field
Sprachwissenschaft

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