Automatic Generation of Chatbots for Conversational Web Browsing
Pietro Chitt\`o, Marcos Baez, Florian Daniel, Boualem, Benatallah

TL;DR
This paper presents a method for automatically generating chatbots from websites with simple HTML annotations, enabling conversational web browsing through natural language interactions.
Contribution
It introduces a novel approach to create chatbots from annotated websites, facilitating dialog-based browsing and interaction with web content.
Findings
Demo implementation on Amazon Alexa demonstrates feasibility.
Supports natural language interaction with web UIs.
Enables users to 'talk' to websites instead of traditional UI operations.
Abstract
In this paper, we describe the foundations for generating a chatbot out of a website equipped with simple, bot-specific HTML annotations. The approach is part of what we call conversational web browsing, i.e., a dialog-based, natural language interaction with websites. The goal is to enable users to use content and functionality accessible through rendered UIs by "talking to websites" instead of by operating the graphical UI using keyboard and mouse. The chatbot mediates between the user and the website, operates its graphical UI on behalf of the user, and informs the user about the state of interaction. We describe the conceptual vocabulary and annotation format, the supporting conversational middleware and techniques, and the implementation of a demo able to deliver conversational web browsing experiences through Amazon Alexa.
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