tner and NeuroNER
Given that TNER specializes in fine-tuning transformer-based language models for NER with a focus on cross-domain evaluation, and NeuroNER is a general neural network-based NER tool that predates widespread transformer adoption, they are primarily competitors in the broader NER space, with TNER offering a more modern, transformer-centric approach that likely provides superior performance for current tasks while NeuroNER represents an older, albeit still functional, paradigm.
About tner
asahi417/tner
Language model fine-tuning on NER with an easy interface and cross-domain evaluation. "T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition, EACL 2021"
About NeuroNER
Franck-Dernoncourt/NeuroNER
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
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