Factuality can play an important role when automatically processing clin...
Relation extraction (RE) is a fundamental task in information extraction...
Prompting pre-trained language models has achieved impressive performanc...
Scholarly Argumentation Mining (SAM) has recently gained attention due t...
One of the most common problems preventing the application of prediction...
Saliency maps can explain a neural model's prediction by identifying
imp...
Relation classification models are conventionally evaluated using only a...
Pre-trained language models (PLM) are effective components of few-shot n...
We present MobIE, a German-language dataset, which is human-annotated wi...
Definition Extraction systems are a valuable knowledge source for both h...
Named Entity Recognition (NER) in domains like e-commerce is an understu...
TACRED (Zhang et al., 2017) is one of the largest, most widely used
crow...
Despite the recent progress, little is known about the features captured...
Recent years showed a strong increase in biomedical sciences and an inhe...
Recognizing non-standard entity types and relations, such as B2B product...
Monitoring mobility- and industry-relevant events is important in areas ...
We explore to what extent knowledge about the pre-trained language model...
Representations in the hidden layers of Deep Neural Networks (DNN) are o...
Distantly supervised relation extraction is widely used to extract relat...
Current state-of-the-art relation extraction methods typically rely on a...