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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
TeamUnibo at SemEval-2023 Task 6: A transformer based approach to Rhetorical Roles prediction and NER in Legal Texts
ACL 2023
Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks
ACL 2023
Nested Named Entity Recognition as Building Local Hypergraphs
AAAI 2023
YNUNLP at SemEval-2023 Task 2: The Pseudo Twin Tower Pre-training Model for Chinese Named Entity Recognition
ACL 2023
Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling
AAAI 2023
Tracking the Evolution of Covid-19 Symptoms through Clinical Conversations
ACL 2023
AUC Maximization for Low-Resource Named Entity Recognition
AAAI 2023
Samsung Research China - Beijing at SemEval-2023 Task 2: An AL-R Model for Multilingual Complex Named Entity Recognition
ACL 2023
An Entity-based Claim Extraction Pipeline for Real-world Biomedical Fact-checking
EACL 2023
Headline Generation for Stock Price Fluctuation Articles
AACL 2023
A Multilingual Evaluation of NER Robustness to Adversarial Inputs
ACL 2023
Transfer Learning for Low-Resource Clinical Named Entity Recognition
ACL 2023
Knowledge Injection for Disease Names in Logical Inference between Japanese Clinical Texts
ACL 2023
Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization
EMNLP 2023
UMLS-KGI-BERT: Data-Centric Knowledge Integration in Transformers for Biomedical Entity Recognition
ACL 2023
Legal_try at SemEval-2023 Task 6: Voting Heterogeneous Models for Entities identification in Legal Documents
ACL 2023
Multilingual Clinical NER: Translation or Cross-lingual Transfer?
ACL 2023
VTCC-NER at SemEval-2023 Task 6: An Ensemble Pre-trained Language Models for Named Entity Recognition
SEMEVAL 2023
Cross-domain German Medical Named Entity Recognition using a Pre-Trained Language Model and Unified Medical Semantic Types
ACL 2023
TALP-UPC at ProbSum 2023: Fine-tuning and Data Augmentation Strategies for NER
ACL 2023
ResearchTeam_HCN at SemEval-2023 Task 6: A knowledge enhanced transformers based legal NLP system
ACL 2023
Minanto at SemEval-2023 Task 2: Fine-tuning XLM-RoBERTa for Named Entity Recognition on English Data
SEMEVAL 2023
Towards the First Named Entity Recognition of Inuktitut for an Improved Machine Translation
ACL 2023
WeLT: Improving Biomedical Fine-tuned Pre-trained Language Models with Cost-sensitive Learning
ACL 2023
Slav-NER: the 4th Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic languages
EACL 2023
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