Intermediate training of pre-trained transformer-based language models o...
This paper describes our system developed for the SemEval-2023 Task 12
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The detection and normalization of temporal expressions is an important ...
The field of natural language processing (NLP) has recently seen a large...
In this paper, we explore possible improvements of transformer models in...
The performance of relation extraction models has increased considerably...
In low-resource settings, model transfer can help to overcome a lack of
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The recognition and normalization of clinical information, such as tumor...
Current developments in natural language processing offer challenges and...
Certain embedding types outperform others in different scenarios, e.g.,
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Natural language processing has huge potential in the medical domain whi...
Named entity recognition has been extensively studied on English news te...
Exploiting natural language processing in the clinical domain requires
d...
Although temporal tagging is still dominated by rule-based systems, ther...
Recent work showed that embeddings from related languages can improve th...