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Methodology
← Understanding
Natural Language Processing
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Understanding
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Named Entity Recognition
1355 directly classified papers
Papers per year
2000: 1
2008: 1
2009: 1
2010: 1
2016: 7
2017: 29
2018: 72
2019: 137
2020: 134
2021: 184
2022: 203
2023: 273
2024: 174
2025: 112
2026: 26
Papers
Auxiliary Learning for Named Entity Recognition with Multiple Auxiliary Biomedical Training Data
ACL 2022
NER4ID at SemEval-2022 Task 2: Named Entity Recognition for Idiomaticity Detection
SEMEVAL 2022
Team dina at SemEval-2022 Task 8: Pre-trained Language Models as Baselines for Semantic Similarity
SEMEVAL 2022
LMN at SemEval-2022 Task 11: A Transformer-based System for English Named Entity Recognition
SEMEVAL 2022
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition
SEMEVAL 2022
AaltoNLP at SemEval-2022 Task 11: Ensembling Task-adaptive Pretrained Transformers for Multilingual Complex NER
SEMEVAL 2022
DANGNT-SGU at SemEval-2022 Task 11: Using Pre-trained Language Model for Complex Named Entity Recognition
SEMEVAL 2022
OPDAI at SemEval-2022 Task 11: A hybrid approach for Chinese NER using outside Wikipedia knowledge
SEMEVAL 2022
Sliced at SemEval-2022 Task 11: Bigger, Better? Massively Multilingual LMs for Multilingual Complex NER on an Academic GPU Budget
SEMEVAL 2022
Infrrd.ai at SemEval-2022 Task 11: A system for named entity recognition using data augmentation, transformer-based sequence labeling model, and EnsembleCRF
SEMEVAL 2022
KDDIE at SemEval-2022 Task 11: Using DeBERTa for Named Entity Recognition
SEMEVAL 2022
DS4DH at SemEval-2022 Task 11: Multilingual Named Entity Recognition Using an Ensemble of Transformer-based Language Models
SEMEVAL 2022
CMNEROne at SemEval-2022 Task 11: Code-Mixed Named Entity Recognition by leveraging multilingual data
SEMEVAL 2022
RACAI at SemEval-2022 Task 11: Complex named entity recognition using a lateral inhibition mechanism
SEMEVAL 2022
NamedEntityRangers at SemEval-2022 Task 11: Transformer-based Approaches for Multilingual Complex Named Entity Recognition
SEMEVAL 2022
Raccoons at SemEval-2022 Task 11: Leveraging Concatenated Word Embeddings for Named Entity Recognition
SEMEVAL 2022
SeqL at SemEval-2022 Task 11: An Ensemble of Transformer Based Models for Complex Named Entity Recognition Task
SEMEVAL 2022
SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models
SEMEVAL 2022
USTC-NELSLIP at SemEval-2022 Task 11: Gazetteer-Adapted Integration Network for Multilingual Complex Named Entity Recognition
SEMEVAL 2022
Multilinguals at SemEval-2022 Task 11: Transformer Based Architecture for Complex NER
SEMEVAL 2022
L3i at SemEval-2022 Task 11: Straightforward Additional Context for Multilingual Named Entity Recognition
SEMEVAL 2022
SU-NLP at SemEval-2022 Task 11: Complex Named Entity Recognition with Entity Linking
SEMEVAL 2022
Named Entity Recognition for Cancer Immunology Research Using Distant Supervision
ACL 2022
SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)
SEMEVAL 2022
UM6P-CS at SemEval-2022 Task 11: Enhancing Multilingual and Code-Mixed Complex Named Entity Recognition via Pseudo Labels using Multilingual Transformer
SEMEVAL 2022
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