no code implementations • 23 Oct 2023 • Ankita Bhaumik, Praveen Venkateswaran, Yara Rizk, Vatche Isahagian
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.
no code implementations • 3 Oct 2023 • Ritesh Kumar, Saurabh Goyal, Ashish Verma, Vatche Isahagian
\\ 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.
no code implementations • 6 Dec 2022 • Praveen Venkateswaran, Evelyn Duesterwald, Vatche Isahagian
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.
no code implementations • 3 Nov 2022 • Praveen Venkateswaran, Vatche Isahagian, Vinod Muthusamy, Nalini Venkatasubramanian
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.
no code implementations • 26 Oct 2022 • Yara Rizk, Praveen Venkateswaran, Vatche Isahagian, Vinod Muthusamy
The inception of large language models has helped advance state-of-the-art performance on numerous natural language tasks.
no code implementations • 15 Jul 2022 • Michael Desmond, Evelyn Duesterwald, Vatche Isahagian, Vinod Muthusamy
We propose a paradigm for the construction of business automations using natural language.
no code implementations • 1 Jun 2022 • Siyu Huo, Kushal Mukherjee, Jayachandu Bandlamudi, Vatche Isahagian, Vinod Muthusamy, Yara Rizk
APIs are everywhere; they provide access to automation solutions that could help businesses automate some of their tasks.
no code implementations • 9 Aug 2021 • Sohini Upadhyay, Vatche Isahagian, Vinod Muthusamy, Yara Rizk
AI business process applications automate high-stakes business decisions where there is an increasing demand to justify or explain the rationale behind algorithmic decisions.
no code implementations • JSYS Mar_Papers 2021 • Ali Raza, Ibrahim Matta, Nabeel Akhtar, Vasiliki Kalavri, Vatche Isahagian
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.
no code implementations • 27 Jul 2020 • Tathagata Chakraborti, Vatche Isahagian, Rania Khalaf, Yasaman Khazaeni, Vinod Muthusamy, Yara Rizk, Merve Unuvar
In this survey, we study how recent advances in machine intelligence are disrupting the world of business processes.
no code implementations • 27 Jul 2020 • Yara Rizk, Vatche Isahagian, Scott Boag, Yasaman Khazaeni, Merve Unuvar, Vinod Muthusamy, Rania Khalaf
Robotic process automation (RPA) has emerged as the leading approach to automate tasks in business processes.
no code implementations • 4 Mar 2020 • Yara Rizk, Vatche Isahagian, Merve Unuvar, Yasaman Khazaeni
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.
no code implementations • 7 Jan 2020 • Yara Rizk, Abhishek Bhandwalder, Scott Boag, Tathagata Chakraborti, Vatche Isahagian, Yasaman Khazaeni, Falk Pollock, Merve Unuvar
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.