ML Research Wiki / Benchmarks / Named Entity Recognition (NER) / SciERC

SciERC

Named Entity Recognition (NER) Benchmark

Performance Over Time

📊 Showing 6 results | 📏 Metric: F1

Top Performing Models

Rank Model Paper F1 Date Code
1 SpERT 📚 Span-based Joint Entity and Relation Extraction with Transformer Pre-training 70.33 2019-09-17 📦 markus-eberts/spert 📦 lavis-nlp/spert 📦 yangyucheng000/Paper-3
2 RDANER 📚 A Robust and Domain-Adaptive Approach for Low-Resource Named Entity Recognition 68.96 2021-01-02 📦 houking-can/RDANER
3 Ours: cross-sentence A Frustratingly Easy Approach for Entity and Relation Extraction 68.20 2020-10-24 📦 princeton-nlp/PURE 📦 YaoXinZhi/BERT-for-BioNLP-OST2019-AGAC-Task2
4 SciBERT (SciVocab) 📚 SciBERT: A Pretrained Language Model for Scientific Text 67.57 2019-03-26 📦 allenai/scibert 📦 charles9n/bert-sklearn 📦 tetsu9923/scireviewgen
5 SciBERT (Base Vocab) 📚 SciBERT: A Pretrained Language Model for Scientific Text 65.24 2019-03-26 📦 allenai/scibert 📦 charles9n/bert-sklearn 📦 tetsu9923/scireviewgen
6 SCIIE Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction 64.20 2018-08-29 📦 luanyi/DyGIE 📦 danilo-dessi/skg 📦 YerevaNN/SciERC 📦 KeLi-gavin/CS8750 📦 luanyi/scierc

All Papers (6)