A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is
Limitations of Neural Networks-based NER for Resume Data Extraction
Revista de Procesamiento de Lenguaje Natural (SEPLN)
We provided research about the abilities of neural network-based NER models, quality, and their limitations in resolving entities of different types of complexity (emails, names, skills, etc.). It has been shown that the quality depends on the entity type and complexity, and estimate "ceilings", which model quality can achieve in the case of proper realization and well-labelled dataset.dblp:journals/pdln/PinzonKS20 fatcat:ez2jkjtdsncgbgdixxgketlrry