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NER

The named entity recognition (NER) involves identification of key information in the text and classification into a set of predefined categories. This includes standard entities in the text like Part of Speech (PoS) and entities like places, names etc...

Papers

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Showing 501–550 of 1729 papers

TitleStatusHype
Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace SelectionCode0
Revisiting Projection-based Data Transfer for Cross-Lingual Named Entity Recognition in Low-Resource LanguagesCode0
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty EstimationCode0
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation PurificationCode0
Few-shot Named Entity Recognition via Superposition Concept DiscriminationCode0
Fine-grained Entity Typing without Knowledge BaseCode0
Bonafide at LegalLens 2024 Shared Task: Using Lightweight DeBERTa Based Encoder For Legal Violation Detection and ResolutionCode0
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy LabelsCode0
Different Tastes of Entities: Investigating Human Label Variation in Named Entity AnnotationsCode0
Federated Incremental Named Entity RecognitionCode0
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language ModelsCode0
BIOptimus: Pre-training an Optimal Biomedical Language Model with Curriculum Learning for Named Entity RecognitionCode0
Extracting Impact Model Narratives from Social Services' TextCode0
Few-shot classification in Named Entity Recognition TaskCode0
Fine-Grained Error Analysis and Fair Evaluation of Labeled SpansCode0
Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language ModelingCode0
Exploiting Multiple Embeddings for Chinese Named Entity RecognitionCode0
Exploring Partial Knowledge Base Inference in Biomedical Entity LinkingCode0
Biomedical Named Entity Recognition at ScaleCode0
Exploring Robustness of Multilingual LLMs on Real-World Noisy DataCode0
Biomedical Language Models are Robust to Sub-optimal TokenizationCode0
Evolution of ESG-focused DLT Research: An NLP Analysis of the LiteratureCode0
Evaluating Transferability of BERT Models on Uralic LanguagesCode0
DMNER: Biomedical Entity Recognition by Detection and MatchingCode0
Evaluation of a Sequence Tagging Tool for Biomedical TextsCode0
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity RecognitionCode0
Exploring Segment Representations for Neural Segmentation ModelsCode0
Evaluating Contextualized Language Models for HungarianCode0
Evaluating Named Entity Recognition: A comparative analysis of mono- and multilingual transformer models on a novel Brazilian corporate earnings call transcripts datasetCode0
BioFLAIR: Pretrained Pooled Contextualized Embeddings for Biomedical Sequence Labeling TasksCode0
ETNLP: a visual-aided systematic approach to select pre-trained embeddings for a downstream taskCode0
A neural network multi-task learning approach to biomedical named entity recognitionCode0
Entity Projection via Machine Translation for Cross-Lingual NERCode0
Entity Recognition at First Sight: Improving NER with Eye Movement InformationCode0
Enhancing Label Consistency on Document-level Named Entity RecognitionCode0
Enhancing deep neural networks with morphological informationCode0
Enhancing Relation Extraction via Adversarial Multi-task LearningCode0
Entry Separation using a Mixed Visual and Textual Language Model: Application to 19th century French Trade DirectoriesCode0
Evaluating the Utility of Hand-crafted Features in Sequence LabellingCode0
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition SystemsCode0
Domain-Specific Language Model Pretraining for Biomedical Natural Language ProcessingCode0
End-to-End Neural Entity LinkingCode0
A Neural Multi-digraph Model for Chinese NER with GazetteersCode0
End-to-end Recurrent Neural Network Models for Vietnamese Named Entity Recognition: Word-level vs. Character-levelCode0
A Neural Layered Model for Nested Named Entity RecognitionCode0
Enhancing Language Models for Financial Relation Extraction with Named Entities and Part-of-SpeechCode0
DualNER: A Dual-Teaching framework for Zero-shot Cross-lingual Named Entity RecognitionCode0
BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NERCode0
Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?Code0
End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language ModelsCode0
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