ARCHIV
ARCHIV
The focus of the project is the detection and quantitative analysis of acknowledged entities, i.e., named entity recognition (NER) task in a larger corpus of WoS articles which include acknowledgements. The analysis of acknowledgments is particularly interesting as acknowledgments may give an insight on such aspects of scientific society as reward systems, collaboration structures, and hidden research trends. The FLAIR NLP Framework will be used to perform the acknowledged entity recognition task.
Project Report: Mining Acknowledgement Texts in Web of Science (MinAck)