Skip to main content Skip to main navigation

Dr. phil. Aljoscha Burchardt

Organizational unit Speech and Language Technology
Contact +49 30 23895 1838 (Berlin)

http://dfki.de/~aburch/
Address (Berlin)

Publications

XAI for Better Exploitation of Text in Medical Decision Support

Ajay Madhavan Ravichandran; Julianna Grune; Nils Feldhus; Aljoscha Burchardt; Sebastian Möller; Roland Roller

In: Dina Demner-Fushman; Sophia Ananiadou; Makoto Miwa; Kirk Roberts; Junichi Tsujii (Hrsg.). Proceedings of the 23rd Workshop on Biomedical Natural Language Processing. Workshop on Current Trends in Biomedical Natural Language Processing (BioNLP-2024), located at Association for Computational Linguistics (ACL), August 16, Bangkok, Thailand, Pages 506-513, Association for Computational Linguistics, 8/2024.

To the publication

Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems

Iris Merget; Christiane Plociennik; Mihai Maftei; Aljoscha Burchardt; Djalel Benbouzid; Laura Lucaj; Marc Hauer; Abdeldjallil Naceri; Patrick van der Smagt

In: ArXiv e-prints (arxiv), Vol. 0, Pages 0-0, Cornell University - ArXiv, 5/2024.

To the publication

Investigating the Impact of AI on Shared Decision-Making in Post-Kidney Transplant Care (PRIMA-AI): Protocol for a Randomized Controlled Trial

Bilgin Osmanodja; Zeineb Sassi; Sascha Eickmann; Carla Maria Hansen; Roland Roller; Aljoscha Burchardt; David Samhammer; Peter Dabrock; Sebastian Möller; Klemens Budde; Anne Herrmann

In: JMIR Research Protocols, Vol. 13, No. 1, Pages 1-5, JMIR Publications Inc., Toronto, Canada, 2024.

To the publication
All publications

Profile

  • PRIMA-AI

    Prospectively investigating the impact of AI on shared decision making in post-kidney transplant care

    Health care is undergoing a transformation from a paternalistic to a patient-centred approach. Medical decision-making is therefore a collaborative process between patients, their relatives and…

  • QTLeap

    Quality Translation by Deep Language Engineering Approaches

    In theory, machine translation (MT) should work especially well on a deep (semantic) level of language processing, where one would expect to be much less confronted with differences between languages…

    QTLeap

  • QTLaunchPad

    Preparation and Launch of a Large-Scale Action for Quality Translation Technology

    Quality translation of text into other languages is in higher demand today than ever before. Europe is the region where the lack of fast, affordable quality translation hurts the most. Despite…

    QTLaunchPad

  • taraXÜ

    Self-Adapting Machine Translation with Multi-Approach Language Technology

    After a period where Machine Translation (MT) seemed to have reached a plateau, recent advances in Language Technology (LT) as well as a rising need for translation services have provided new momentum…

    taraXÜ