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Natural Language Processing for Industrial Applications

dc.contributor.authorQuarteroni, Silvia
dc.date.accessioned2018-04-13T18:33:30Z
dc.date.available2018-04-13T18:33:30Z
dc.date.issued2018
dc.description.abstractRecently, natural language processing applications have become very popular in the industry. Examples of such applications include “semantic” enterprise search engines, document categorizers, speech recognizers and – last but not least – conversational agents, also known as virtual assistants or “chatbots”. The latter in particular are very sought-after in the customer care domain, where the aim is to complement the live agent experience with an artificial intelligence able to help users fulfil a task. In this paper, we discuss the challenges and limitations of industrial chatbot applications, with a particular focus on the “human-in-the-loop” aspect, whereby a cooperation between human and machine takes place in mutual interest. Furthermore, we analyse how the same aspect intervenes in other industrial natural language processing applications.en
dc.identifier.doi10.1007/s00287-018-1094-1
dc.identifier.pissn1432-122X
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/16423
dc.language.isoen
dc.publisherSpringer-Verlag
dc.relation.ispartofInformatik Spektrum: Vol. 41, No. 2
dc.titleNatural Language Processing for Industrial Applicationsen
dc.typeText/Journal Article
gi.citation.endPage112
gi.citation.publisherPlaceBerlin Heidelberg
gi.citation.startPage105
gi.conference.sessiontitleHauptbeitrag

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