Search Results for author: Soya Park

Found 5 papers, 0 papers with code

Bridging Multi-disciplinary Collaboration Challenges in ML Development via Domain Knowledge Elicitation

no code implementations NAACL (DaSH) 2021 Soya Park

Building a machine learning model in a sophisticated domain is a time-consuming process, partially due to the steep learning curve of domain knowledge for data scientists.

Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models

no code implementations29 Jan 2021 Soya Park, April Wang, Ban Kawas, Q. Vera Liao, David Piorkowski, Marina Danilevsky

Data scientists face a steep learning curve in understanding a new domain for which they want to build machine learning (ML) models.

How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study

no code implementations13 Jan 2021 David Piorkowski, Soya Park, April Yi Wang, Dakuo Wang, Michael Muller, Felix Portnoy

The development of AI applications is a multidisciplinary effort, involving multiple roles collaborating with the AI developers, an umbrella term we use to include data scientists and other AI-adjacent roles on the same team.

How Much Automation Does a Data Scientist Want?

no code implementations7 Jan 2021 Dakuo Wang, Q. Vera Liao, Yunfeng Zhang, Udayan Khurana, Horst Samulowitz, Soya Park, Michael Muller, Lisa Amini

There is an active research thread in AI, \autoai, that aims to develop systems for automating end-to-end the DS/ML Lifecycle.

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