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Named Entity Recognition

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TitleStatusHype
SeqAttack: On Adversarial Attacks for Named Entity Recognition—0
Analysis of Zero-Shot Crosslingual Learning between English and Korean for Named Entity RecognitionCode0
Improved Named Entity Recognition for Noisy Call Center Transcripts—0
Zero-Shot Cross-Lingual Transfer is a Hard Baseline to Beat in German Fine-Grained Entity Typing—0
Deep Learning Transformer Architecture for Named Entity Recognition on Low Resourced Languages: State of the art results—0
Language Clustering for Multilingual Named Entity Recognition—0
Evaluating the carbon footprint of NLP methods: a survey and analysis of existing tools—0
Synchronous Dual Network with Cross-Type Attention for Joint Entity and Relation Extraction—0
The Korean Morphologically Tight-Fitting Tokenizer for Noisy User-Generated Texts—0
Arabic Named Entity Recognition Using Transformer-based-CRF Model—0
ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant SupervisionCode0
HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition—0
Named Entity Recognition in Historic Legal Text: A Transformer and State Machine Ensemble Method—0
CNNBiF: CNN-based Bigram Features for Named Entity Recognition—0
Named Entity Recognition in the Romanian Legal DomainCode0
TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network—0
Backdoor Pre-trained Models Can Transfer to AllCode0
Part & Whole Extraction: Towards A Deep Understanding of Quantitative Facts for Percentages in Text—0
Learning Rich Representation of Keyphrases from Text—0
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning—0
Turkish Named Entity Recognition: A Survey and Comparative Analysis—0
A Pharmacovigilance Application of Social Media Mining: An Ensemble Approach for Automated Classification and Extraction of Drug Mentions in Tweets—0
Named Entity Recognition in Unstructured Medical Text Documents—0
Understanding Model Robustness to User-generated Noisy TextsCode0
Investigation on Data Adaptation Techniques for Neural Named Entity Recognition—0
Protagonists' Tagger in Literary Domain -- New Datasets and a Method for Person Entity Linkage—0
Aggregating User-Centric and Post-Centric Sentiments from Social Media for Topical Stance Prediction—0
Home Appliance Review Research Via Adversarial Reptile—0
Nested Named Entity Recognition for Chinese Electronic Health Records with QA-based Sequence Labeling—0
OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis—0
Training sequence labeling models using prior knowledge—0
Text to Insight: Accelerating Organic Materials Knowledge Extraction via Deep Learning—0
Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields—0
Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction—0
Breaking BERT: Understanding its Vulnerabilities for Named Entity Recognition through Adversarial AttackCode0
DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder—0
BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets—0
Slot Filling for Biomedical Information ExtractionCode0
reproducing "ner and pos when nothing is capitalized"Code0
The futility of STILTs for the classification of lexical borrowings in Spanish—0
Improving Unsupervised Question Answering via Summarization-Informed Question Generation—0
MFE-NER: Multi-feature Fusion Embedding for Chinese Named Entity RecognitionCode0
Self-Training with Differentiable Teacher—0
Low-Resource Named Entity Recognition Based on Multi-hop Dependency TriggerCode0
MDAPT: Multilingual Domain Adaptive Pretraining in a Single ModelCode0
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding—0
What are the attackers doing now? Automating cyber threat intelligence extraction from text on pace with the changing threat landscape: A survey—0
AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations—0
Clinical Trial Information Extraction with BERT—0
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework—0
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