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“HalloBzar”: A German chatbot for accessing the regional digital marketplace

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dc.contributor.authorBawa, Vanishika
dc.contributor.authorBaroud, Ibrahim
dc.contributor.authorSchaffer, Stefan
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorWohlgemuth, Volker
dc.date.accessioned2023-11-29T14:50:22Z
dc.date.available2023-11-29T14:50:22Z
dc.date.issued2023
dc.description.abstractAs part of the “Stadt-Land-Fluss” project, we investigate the usage of an AI-powered chatbot to support three key players of the regional food supply chain: producers, food processors, and buyers, in selling or buying their products digitally. A Minimal Viable Prototype was developed with input from domain specialists and includes two scenarios with concrete use cases; namely, “see crop plannings”, “create sales item”, “looking for a food-processor” in the first and, “create delivery series” or “see offers” in the second. Additionally, the chatbot provides personalized follow-up questions in the case where an offer or crop planning is due. We identify 17 intents and 9 entities and evaluate the performance of NLU components using 5-fold cross validation. This work contributes to the field by curating domain-specific use cases and data based on expert insights. We also extend the data using large language models. Additionally, we show that using DIET with spaCy outperforms using DIET with BERT-based tokenizers and featurizers in Intent Detection (ID) and Entity Recognition (ER) on our data when keeping other parts of the chatbot constant.en
dc.identifier.doi10.18420/inf2023_164
dc.identifier.isbn978-3-88579-731-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43090
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2023 - Designing Futures: Zukünfte gestalten
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-337
dc.subjectChatbot
dc.subjectConversational Design
dc.subjectPre-trained Large Language Models
dc.subjectPrototyping
dc.subjectFood Supply Market
dc.subjectRegional Food
dc.subjectDeep Learning
dc.title“HalloBzar”: A German chatbot for accessing the regional digital marketplaceen
dc.typeText/Conference Paper
gi.citation.endPage1614
gi.citation.publisherPlaceBonn
gi.citation.startPage1607
gi.conference.date26.-29. September 2023
gi.conference.locationBerlin
gi.conference.sessiontitleÖkologische Nachhaltigkeit - Kolloquium Landwirtschaft der Zukunft - Ist KI ein wesentlicher Schlüssel zur nachhaltigeren Landwirtschaft?

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P337 - INFORMATIK 2023 - Designing Futures: Zukünfte gestalten