8 citations · 8 across the 2 of their papers we have counts for
3 papers
Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case
Baifan Zhou, Nikolay Nikolov, Zhuoxun Zheng +5
Industry 4.0 and Internet of Things (IoT) technologies unlock unprecedented amount of data from factory production, posing big data challenges in volume and variety. In that contex…
ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER
Amirhossein Layegh, Amir H. Payberah, Ahmet Soylu +2
Prompt-based language models have produced encouraging results in numerous applications, including Named Entity Recognition (NER) tasks. NER aims to identify entities in a sentence…
Empirical Big Data Research: A Systematic Literature Mapping
Bjørn Magnus Mathisen, Leendert Wienhofen, Dumitru Roman
Background: Big Data is a relatively new field of research and technology, and literature reports a wide variety of concepts labeled with Big Data. The maturity of a research field…