Machine Learning – Department of Informatics – DDIS https://www.uzh.ch/blog/ifi-ddis Dynamic and Distributed Information Systems Group Tue, 21 Feb 2023 13:31:29 +0000 en-US hourly 1 https://wordpress.org/?v=6.8.2 New Paper in AAAI ’23 https://www.uzh.ch/blog/ifi-ddis/2023/02/21/new-paper-in-aaai-23/ Tue, 21 Feb 2023 13:30:34 +0000 https://www.uzh.ch/blog/ifi-ddis/?p=804

A paper based on controllable models for simplifying medical text, co-authored by our colleague Rosni Kottekulam Vasu and external collaborators, was accepted at the 37th AAAI Conference on Artificial Intelligence! The paper is titled “Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts” and was jointly conducted with Chandrayee Basu, Michihiro Yasunaga from Stanford University, and Qian Yang from Cornell University.

The paper’s vision is an interactive automatic medical text simplification system, which can enable medical practitioners and patients to simplify the contents of a text or conversation selectively and have controllability over the type of desired textual transformations.

Rosni presented the work at AAAI, orally and on a poster and was accepted to the 2023 AAAI student scholarship and volunteer program. Congratulations!

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CrowdAlytics: Large-Scale Human-Machine Systems for Data Science https://www.uzh.ch/blog/ifi-ddis/2019/09/30/crowdalytics-large-scale-human-machine-systems-for-data-science/ Mon, 30 Sep 2019 11:48:07 +0000 http://www.uzh.ch/blog/ifi-ddis/?p=576 In August a new project has started at DDIS. The aim of this research project is to investigate how people and AI can work together to solve data science tasks. In particular, we would like to develop new methods of human-machine cooperation, that allow both novice and expert users as well as machines to collaborate on complex data science tasks. We combine findings from statistics, data science, swarm intelligence research and computer-supported group work. The findings of this study help us to better understand how people and machines work together, a goal that is becoming increasingly important to our lives and work in the age of AI.

People participating in the project: 

  • Prof. Abraham Bernstein
  • Cristina Sarasua
  • Dhivyabharathi Ramasamy
  • Florian Ruosch

Start/End-date: 01.08.2019 – 31.07.2023
For more information, see our project description.

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