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Named Entity Recognition

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Showing 1351–1375 of 2560 papers

TitleStatusHype
Textbook to triples: Creating knowledge graph in the form of triples from AI TextBook—0
Improving Tagging Consistency and Entity Coverage for Chemical Identification in Full-text Articles—0
Listen to Both Sides and be Enlightened! -- Hierarchical Modality Fusion Network for Entity and Relation Extraction—0
Explicit Modeling the Context for Chinese NER—0
Rethinking Negative Sampling for Handling Missing Entity Annotations—0
Few-shot Named Entity Recognition with Joint Token and Sentence Awareness—0
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER—0
Towards Building Automatic Medical Consultation System: Framework, Task and Dataset—0
Distill and Calibrate: Denoising Inconsistent Labeling Instances for Chinese Named Entity Recognition—0
AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction—0
Phone-ing it in: Towards Flexible Multi-Modal Language Model Training by Phonetic Representations of Data—0
Boundary Smoothing for Named Entity Recognition—0
Simple yet Powerful: An Overlooked Architecture for Nested Named Entity Recognition—0
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective—0
Textual Entailment with Dynamic Contrastive Learning for Zero-shot NER—0
DAML: Chinese Named Entity Recognition with a fusion method of data-augmentation and meta-learning—0
Multi-Granularity Contrastive Knowledge Distillation for Multimodal Named Entity Recognition—0
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition—0
Lifting the Curse of Multilinguality by Pre-training Modular Transformers—0
Slot Filling for Biomedical Information Extraction—0
Topic Sentence Named Entity Recognition: A New Task with Its Dataset and Benchmarks—0
Cross-domain Named Entity Recognition via Graph Matching—0
A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment Analysis—0
Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled Learning—0
Distantly Supervised Named Entity Recognition with Category-Oriented Confidence CalibrationCode0
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