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Named Entity Recognition (NER) 벤치마크

Named Entity Recognition (NER) on BC4CHEMD

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F1

89.21 90.5 91.8 93.09 94.39 2019-04 2026-09 Att-BiLSTM-CRF — 91.14 (2019-04-15) BERN — 91.2 (2019-06-04) BLSTM-CNN-Char (SparkNLP) — 93.72 (2020-11-12) BERN2 — 92.8 (2022-01-06) BertForTokenClassification (Spark NLP) — 94.39 (2022-07-19) UniNER-7B — 89.21 (2023-08-07) Att-BiLSTM-CRF — 91.14 (2019-04-15) BERN — 91.2 (2019-06-04) BLSTM-CNN-Char (SparkNLP) — 93.72 (2020-11-12) BertForTokenClassification (Spark NLP) — 94.39 (2022-07-19)
RankModel F1 PaperCodeYear
1 BertForTokenClassification (Spark NLP) 94.39 Accurate clinical and biomedical Named entity recognition at scale JohnSnowLabs/spark-nlp-workshop 2022
2 BLSTM-CNN-Char (SparkNLP) 93.72 Biomedical Named Entity Recognition at Scale JohnSnowLabs/spark-nlp-workshop 2020
3 BERN2 92.8 BERN2: an advanced neural biomedical named entity recognition and normalization tool dmis-lab/bern2 2022
4 aimped 92.45
5 BERN 91.2 A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining dmis-lab/bern 2019
6 Att-BiLSTM-CRF 91.14 An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition lingluodlut/Att-ChemdNER 2019
7 UniNER-7B 89.21 UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition universal-ner/universal-ner · emma1066/retrieval-augmented-it-openner 2023
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