17 citations · 71 across the 24 of their papers we have counts for
4 papers · 1 filter
CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain
Lukas Lange, Heike Adel, Jannik Strötgen +1
The field of natural language processing (NLP) has recently seen a large change towards using pre-trained language models for solving almost any task. Despite showing great improve…
Boosting Transformers for Job Expression Extraction and Classification in a Low-Resource Setting
Lukas Lange, Heike Adel, Jannik Strötgen
In this paper, we explore possible improvements of transformer models in a low-resource setting. In particular, we present our approaches to tackle the first two of three subtasks…
To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning
Lukas Lange, Jannik Strötgen, Heike Adel +1
In low-resource settings, model transfer can help to overcome a lack of labeled data for many tasks and domains. However, predicting useful transfer sources is a challenging proble…
ANEA: Distant Supervision for Low-Resource Named Entity Recognition
Michael A. Hedderich, Lukas Lange, Dietrich Klakow
Distant supervision allows obtaining labeled training corpora for low-resource settings where only limited hand-annotated data exists. However, to be used effectively, the distant…