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TESS: A Multi-intent Parser for Conversational Multi-Agent Systems with Decentralized Natural Language Understanding Models
Chatbots have become one of the main pathways for the delivery of business automation tools.
TaskDiff: A Similarity Metric for Task-Oriented Conversations
The popularity of conversational digital assistants has resulted in the availability of large amounts of conversational data which can be utilized for improved user experience and personalized response generation.
A Case for Business Process-Specific Foundation Models
The inception of large language models has helped advance state-of-the-art performance on numerous natural language tasks.
Natural Language Sentence Generation from API Specifications
APIs are everywhere; they provide access to automation solutions that could help businesses automate some of their tasks.
Extending LIME for Business Process Automation
AI business process applications automate high-stakes business decisions where there is an increasing demand to justify or explain the rationale behind algorithmic decisions.
Explainable Composition of Aggregated Assistants
A new design of an AI assistant that has become increasingly popular is that of an "aggregated assistant" -- realized as an orchestrated composition of several individual skills or agents that can each perform atomic tasks.
From Robotic Process Automation to Intelligent Process Automation: Emerging Trends
In this survey, we study how recent advances in machine intelligence are disrupting the world of business processes.
A Conversational Digital Assistant for Intelligent Process Automation
Robotic process automation (RPA) has emerged as the leading approach to automate tasks in business processes.
A Snooze-less User-Aware Notification System for Proactive Conversational Agents
The ubiquity of smart phones and electronic devices has placed a wealth of information at the fingertips of consumers as well as creators of digital content.
A Unified Conversational Assistant Framework for Business Process Automation
Business process automation is a booming multi-billion-dollar industry that promises to remove menial tasks from workers' plates -- through the introduction of autonomous agents -- and free up their time and brain power for more creative and engaging tasks.
An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks
Recurrent neural networks (RNN) have been successfully applied to various sequential decision-making tasks, natural language processing applications, and time-series predictions.
