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Found 13 papers, 0 papers with code
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.
ProtoNER: Few shot Incremental Learning for Named Entity Recognition using Prototypical Networks
\\ We present \textbf{ProtoNER}: Prototypical Network based end-to-end KVP extraction model that allows addition of new classes to an existing model while requiring minimal number of newly annotated training samples.
DiSTRICT: Dialogue State Tracking with Retriever Driven In-Context Tuning
Dialogue State Tracking (DST), a key component of task-oriented conversation systems, represents user intentions by determining the values of pre-defined slots in an ongoing dialogue.
FedGen: Generalizable Federated Learning for Sequential Data
Existing federated learning models that follow the standard risk minimization paradigm of machine learning often fail to generalize in the presence of spurious correlations in the training data.
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.
A No-Code Low-Code Paradigm for Authoring Business Automations Using Natural Language
We propose a paradigm for the construction of business automations using natural language.
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.
SoK: Function-as-a-Service: From An Application Developer's Perspective
In this model, a developer focuses on writing the code of the application while infrastructure management is left to the cloud provider who is responsible for the underlying resources, security, isolation, and scaling of the application.
A Conversational Digital Assistant for Intelligent Process Automation
Robotic process automation (RPA) has emerged as the leading approach to automate tasks in business processes.
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 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.
