3 citations · 8 across the 10 of their papers we have counts for
12 papers
Recent Advancements and Challenges of Turkic Central Asian Language Processing
Yana Veitsman, Mareike Hartmann
Research in NLP for Central Asian Turkic languages - Kazakh, Uzbek, Kyrgyz, and Turkmen - faces typical low-resource language challenges like data scarcity, limited linguistic reso…
Towards Adaptable and Interactive Image Captioning with Data Augmentation and Episodic Memory
Aliki Anagnostopoulou, Mareike Hartmann, Daniel Sonntag
Interactive machine learning (IML) is a beneficial learning paradigm in cases of limited data availability, as human feedback is incrementally integrated into the training process.…
Putting Humans in the Image Captioning Loop
Aliki Anagnostopoulou, Mareike Hartmann, Daniel Sonntag
Image Captioning (IC) models can highly benefit from human feedback in the training process, especially in cases where data is limited. We present work-in-progress on adapting an I…
Cross-lingual German Biomedical Information Extraction: from Zero-shot to Human-in-the-Loop
Siting Liang, Mareike Hartmann, Daniel Sonntag
This paper presents our project proposal for extracting biomedical information from German clinical narratives with limited amounts of annotations. We first describe the applied st…
A survey on improving NLP models with human explanations
Mareike Hartmann, Daniel Sonntag
Training a model with access to human explanations can improve data efficiency and model performance on in- and out-of-domain data. Adding to these empirical findings, similarity w…
Interactive Machine Learning for Image Captioning
Mareike Hartmann, Aliki Anagnostopoulou, Daniel Sonntag
We propose an approach for interactive learning for an image captioning model. As human feedback is expensive and modern neural network based approaches often require large amounts…