Cross-lingual German Biomedical Information Extraction: from Zero-shot to Human-in-the-Loop

Siting Liang, Mareike Hartmann, Daniel Sonntag
1/24/2023
cs.HCcs.CL

No confident code implementation found for this paper. 2 possible matches can be shown below.

Abstract

This paper presents our project proposal for extracting biomedical information from German clinical narratives with limited amounts of annotations. We first describe the applied strategies in transfer learning and active learning for solving our problem. After that, we discuss the design of the user interface for both supplying model inspection and obtaining user annotations in the interactive environment.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 2 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{liang2023crosslingual,
  title  = {Cross-lingual German Biomedical Information Extraction: from Zero-shot to Human-in-the-Loop},
  author = {Siting Liang and Mareike Hartmann and Daniel Sonntag},
  year   = {2023},
  eprint = {2301.09908},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2301.09908v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2301.09908.svg)](https://codeofpaper.com/paper/2301.09908)

Discussion