Andrew Rueda
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View article: CoNLL#: Fine-grained Error Analysis and a Corrected Test Set for CoNLL-03 English
CoNLL#: Fine-grained Error Analysis and a Corrected Test Set for CoNLL-03 English Open
Modern named entity recognition systems have steadily improved performance in the age of larger and more powerful neural models. However, over the past several years, the state-of-the-art has seemingly hit another plateau on the benchmark …
View article: Improving NER Research Workflows with SeqScore
Improving NER Research Workflows with SeqScore Open
We describe the features of SeqScore, an MIT-licensed Python toolkit for working with named entity recognition (NER) data.While SeqScore began as a tool for NER scoring, it has been expanded to help with the full lifecycle of working with …