Real-World Conversational AI for Hotel Bookings

Bai, Li; Jiang, Nanyi; Sham, Joey; Shi, Haobin; Fazal, Hussein

doi:10.1109/ai4i46381.2019.00022

Cited by 14 publications

(3 citation statements)

References 14 publications

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“…and vehicles such as cars. Bai Li et al [56] proposed a frame-based dialog management system, to search for and book hotels through text messaging. Their task-oriented chatbot system aided in searching for and booking hotels through text messaging.…”

Section: Applications Of Conversational Aimentioning

confidence: 99%

Perspective Chapter: Recent Trends in Deep Learning for Conversational AI

Talreja Wassan,

Ghuriani

2024

Artificial Intelligence

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Conversational AI has seen unprecedented growth in recent years due to which Chatbots have been made available. Conversational AI primarily focuses on text or speech inputs, identifying the intention behind them, and responding to users with relevant information. Natural Language Processing (NLP), Natural Language Understanding (NLU), Machine Learning (ML), and speech recognition offer a personalized experience that mimics human-like engagement in conversational AI systems. Conversational AI systems like Google Meena, Amazon’s Alexa, Facebook’s BlenderBot, and OpenAI’s GPT-3 are trained using Deep Learning (DL) techniques that mimic a human brain-like structure and are trained on huge amounts of text data to provide open-domain conversations. The aim of this chapter is to highlight Conversational AI and NLP techniques behind it. The chapter focuses on DL architectures useful in building Conversational AI systems. The chapter discusses what are the recent advances in Conversational AI and how they are useful, what are the challenges, and what is the scope and future of conversational AI. This will help researchers to understand state-of-the-art frameworks and how they are useful in building Conversational AI models.

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Section: Applications Of Conversational Aimentioning

confidence: 99%

Perspective Chapter: Recent Trends in Deep Learning for Conversational AI

Talreja Wassan,

Ghuriani

2024

Artificial Intelligence

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“…Li, Bai et.al. [6] reviewed a real-world conversational AI and NLP system for hotel booking. Their architecture design includes a frame-based dialogue management system that calls machine learning models for classification, named entity recognition, and information retrieval subtasks.…”

Section: Introductionmentioning

confidence: 99%

Voice Chatbot for Hospitality

Athikkal¹,

Jenq²

2022

Computer Science and Information Technology

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Chatbot is a machine with the ability to answer automatically through a conversational interface. A chatbot is considered as one of the most exceptional and promising expressions of human computer interaction. Voice-based chatbots or artificial intelligence (AI) devices transform human-computer bidirectional interactions that allow users to navigate an interactive voice response (IVR) system with their voice generally using natural language. In this paper, we focus on voice based chatbots for mediating interactions between hotels and guests from both the hospitality technology providers’ and guests’ perspectives. We developed a hotel web application with the capability to receive a voice input. The application was developed with Speech recognition and deep synthesis API for voice to text and text to voice conversion, a closed domain question answering (cdQA) NLP solution was used for query the answer.

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“…Li, Bai et.al. [18], the authors reviewed a real-world conversational AI and NLP system for hotel booking. Their architecture design includes a frame-based dialogue management system that calls machine learning models for classification, named entity recognition, and information retrieval subtasks.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2022

SIPIJ

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Voice user interface has gained popularity in the recent years. A chatbot is a machine with the ability to answer automatically through a conversational interface. Instead of using mouse and keyboards as input and screen as output, a chatbot with extra voice user interface feature improve the system and enhance the user experience. A chatbot is considered as one of the most exceptional and promising expressions of human computer interaction. Voice-based chatbots or artificial intelligence (AI) devices transform humancomputer bidirectional interactions that allow users to navigate an interactive voice response (IVR) system with their voice generally using natural language. In this paper, we focus on voice based chatbots for mediating interactions between hotels and guests from both the hospitality technology providers' and guests' perspectives. A hotel web application with voice user interface was implemented which provides voice input/output interface to enhance the user experience. Speech recognition component was used to dictate the user voice input to text. Speech synthesis API was used for text to voice conversion. A closed domain question answering (cdQA) Natural Language Processing (NLP) solution was used for processing of query and return the best answer possible.

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Real-World Conversational AI for Hotel Bookings

Cited by 14 publications

References 14 publications

Perspective Chapter: Recent Trends in Deep Learning for Conversational AI

Perspective Chapter: Recent Trends in Deep Learning for Conversational AI

Voice Chatbot for Hospitality

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