Evaluation of Embedding Models for Automatic Extraction and Classification of Acknowledged Entities in Scientific Documents. (arXiv:2206.10939v1 [cs.CL])

Web: http://arxiv.org/abs/2206.10939

Acknowledgments in scientific papers may give an insight into aspects of the
scientific community, such as reward systems, collaboration patterns, and
hidden research trends. The aim of the paper is to evaluate the performance of
different embedding models for the task of automatic extraction and
classification of acknowledged entities from the acknowledgment text in
scientific papers. We trained and implemented a named entity recognition (NER)
task using the Flair NLP-framework. The training was conducted using three
default Flair NER models …

arxiv classification embedding evaluation extraction models