Institutional-Repository, University of Moratuwa.  

Resbot: a bi-lingual restaurant booking conversational artificial intelligence

Show simple item record

dc.contributor.author Fernando, LKD
dc.contributor.author Ganegoda, GU
dc.contributor.editor Piyatilake, ITS
dc.contributor.editor Thalagala, PD
dc.contributor.editor Ganegoda, GU
dc.contributor.editor Thanuja, ALARR
dc.contributor.editor Dharmarathna, P
dc.date.accessioned 2024-02-06T08:11:03Z
dc.date.available 2024-02-06T08:11:03Z
dc.date.issued 2023-12-07
dc.identifier.uri http://dl.lib.uom.lk/handle/123/22192
dc.description.abstract AI-powered chatbots in the service industry enhance customer service and enable data-driven decisions. However, in a conversion, the user's input may not always align closely with the training examples, causing even advanced Natural Language Understanding pipelines to occasionally misinterpret the intent behind user utterances, leading to potential conversational missteps. This paper introduces ResBot, an innovative bi-lingual chatbot (Sinhala and English) with a novel hybrid intent classification mechanism. This approach emphasizes the importance of generalization in intent recognition beyond training data using a language model. Furthermore, by automating reservations through its chat interface, the chatbot transforms customer experience and optimizes restaurant operations in an increasingly digital landscape. en_US
dc.language.iso en en_US
dc.publisher Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa. en_US
dc.subject Natural language processing (NLP) en_US
dc.subject Chatbot en_US
dc.subject Machine learning (ML) en_US
dc.subject Artificial intelligence (AI) en_US
dc.subject Zero-shot classification en_US
dc.subject Intent classification en_US
dc.subject Entity recognition en_US
dc.title Resbot: a bi-lingual restaurant booking conversational artificial intelligence en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty IT en_US
dc.identifier.department Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa. en_US
dc.identifier.year 2023 en_US
dc.identifier.conference 8th International Conference in Information Technology Research 2023 en_US
dc.identifier.place Moratuwa, Sri Lanka en_US
dc.identifier.pgnos pp. 1-6 en_US
dc.identifier.proceeding Proceedings of the 8th International Conference in Information Technology Research 2023 en_US
dc.identifier.email kalpafernando1998@gmail.com en_US
dc.identifier.email upekshag@uom.lk en_US


Files in this item

This item appears in the following Collection(s)

  • ICITR - 2023 [47]
    International Conference on Information Technology Research (ICITR)

Show simple item record