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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 376–400 of 1729 papers

TitleStatusHype
GEMA-Score: Granular Explainable Multi-Agent Score for Radiology Report EvaluationCode0
Generating Medical Prescriptions with Conditional TransformerCode0
Comparing and combining some popular NER approaches on Biomedical tasksCode0
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?Code0
Classification of US Supreme Court Cases using BERT-Based TechniquesCode0
Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace SelectionCode0
Few-shot Named Entity Recognition via Superposition Concept DiscriminationCode0
Fine-grained Entity Typing without Knowledge BaseCode0
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint AveragingCode0
Assessing Demographic Bias in Named Entity RecognitionCode0
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy LabelsCode0
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language ModelsCode0
CLaC at SemEval-2023 Task 2: Comparing Span-Prediction and Sequence-Labeling approaches for NERCode0
Federated Incremental Named Entity RecognitionCode0
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition SystemsCode0
Exploring Swedish & English fastText Embeddings for NER with the TransformerCode0
Exploring Robustness of Multilingual LLMs on Real-World Noisy DataCode0
Exploring Segment Representations for Neural Segmentation ModelsCode0
Extracting Impact Model Narratives from Social Services' TextCode0
Chinese Named Entity Recognition Augmented with Lexicon MemoryCode0
Exploiting Multiple Embeddings for Chinese Named Entity RecognitionCode0
ChiMST: A Chinese Medical Corpus for Word Segmentation and Medical Term RecognitionCode0
ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant SupervisionCode0
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity RecognitionCode0
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword RepresentationsCode0
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