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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 551–600 of 1729 papers

TitleStatusHype
Few-shot Named Entity Recognition via Superposition Concept DiscriminationCode0
BioFLAIR: Pretrained Pooled Contextualized Embeddings for Biomedical Sequence Labeling TasksCode0
FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual FrameworkCode0
Dynamic Named Entity RecognitionCode0
A neural network multi-task learning approach to biomedical named entity recognitionCode0
Few-shot classification in Named Entity Recognition TaskCode0
BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NERCode0
DualNER: A Dual-Teaching framework for Zero-shot Cross-lingual Named Entity RecognitionCode0
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy LabelsCode0
DMNER: Biomedical Entity Recognition by Detection and MatchingCode0
Fine-Grained Error Analysis and Fair Evaluation of Labeled SpansCode0
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language ModelsCode0
Federated Incremental Named Entity RecognitionCode0
Efficient Joint Learning for Clinical Named Entity Recognition and Relation Extraction Using Fourier Networks: A Use Case in Adverse Drug EventsCode0
Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace SelectionCode0
Biomedical Language Models are Robust to Sub-optimal TokenizationCode0
Fine-grained Contract NER using instruction based modelCode0
GEMA-Score: Granular Explainable Multi-Agent Score for Radiology Report EvaluationCode0
Domain-Specific Language Model Pretraining for Biomedical Natural Language ProcessingCode0
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint AveragingCode0
ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity RecognitionCode0
Embedded Named Entity Recognition using Probing ClassifiersCode0
Embedding Models for Supervised Automatic Extraction and Classification of Named Entities in Scientific AcknowledgementsCode0
Exploring Robustness of Multilingual LLMs on Real-World Noisy DataCode0
A Neural Multi-digraph Model for Chinese NER with GazetteersCode0
Exploring Partial Knowledge Base Inference in Biomedical Entity LinkingCode0
Exploring Segment Representations for Neural Segmentation ModelsCode0
A Neural Layered Model for Nested Named Entity RecognitionCode0
Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?Code0
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity RecognitionCode0
Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?Code0
Exploiting Multiple Embeddings for Chinese Named Entity RecognitionCode0
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition SystemsCode0
GGPONC 2.0 - The German Clinical Guideline Corpus for Oncology: Curation Workflow, Annotation Policy, Baseline NER TaggersCode0
Evaluating Transferability of BERT Models on Uralic LanguagesCode0
Evaluation of a Sequence Tagging Tool for Biomedical TextsCode0
ANER: Arabic and Arabizi Named Entity Recognition using Transformer-Based ApproachCode0
Evaluating the Utility of Hand-crafted Features in Sequence LabellingCode0
Evolution of ESG-focused DLT Research: An NLP Analysis of the LiteratureCode0
End-to-end Recurrent Neural Network Models for Vietnamese Named Entity Recognition: Word-level vs. Character-levelCode0
ETNLP: a visual-aided systematic approach to select pre-trained embeddings for a downstream taskCode0
Better Sampling of Negatives for Distantly Supervised Named Entity RecognitionCode0
Evaluating Contextualized Language Models for HungarianCode0
A Corpus for Named Entity Recognition in Chinese Novels with Multi-genresCode0
Evaluating Named Entity Recognition: A comparative analysis of mono- and multilingual transformer models on a novel Brazilian corporate earnings call transcripts datasetCode0
Exploring Swedish & English fastText Embeddings for NER with the TransformerCode0
Graph Convolutional Networks for Named Entity RecognitionCode0
Enhancing Deep Learning with Embedded Features for Arabic Named Entity RecognitionCode0
A Cooperative Multi-Agent Framework for Zero-Shot Named Entity RecognitionCode0
Distantly Supervised NER with Partial Annotation Learning and Reinforcement LearningCode0
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