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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 461–470 of 1729 papers

TitleStatusHype
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity RecognitionCode0
Evolution of ESG-focused DLT Research: An NLP Analysis of the LiteratureCode0
Exploiting Multiple Embeddings for Chinese Named Entity RecognitionCode0
Extracting Impact Model Narratives from Social Services' TextCode0
Few-shot classification in Named Entity Recognition TaskCode0
Data Augmentation for Robust Character Detection in Fantasy NovelsCode0
Data Centric Domain Adaptation for Historical Text with OCR ErrorsCode0
Automatic Identification and Normalisation of Physical Measurements in Scientific LiteratureCode0
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint AveragingCode0
HunFlair: An Easy-to-Use Tool for State-of-the-Art Biomedical Named Entity RecognitionCode0
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