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.

tner
60
Established
NeuroNER
51
Established
Maintenance 0/25
Adoption 19/25
Maturity 25/25
Community 16/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Stars: 396
Forks: 43
Downloads: 3,155
Commits (30d): 0
Language: Python
License: MIT
Stars: 1,720
Forks: 473
Downloads:
Commits (30d): 0
Language: Python
License: MIT
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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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