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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 431–440 of 1729 papers

TitleStatusHype
Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via AdaptersCode0
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity RecognizersCode0
Evolution of ESG-focused DLT Research: An NLP Analysis of the LiteratureCode0
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified FrameworkCode0
Augmenting Biomedical Named Entity Recognition with General-domain ResourcesCode0
Learning to Rank Context for Named Entity Recognition Using a Synthetic DatasetCode0
A Named Entity Recognition Corpus for Vietnamese Biomedical Texts to Support Tuberculosis TreatmentCode0
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity RecognitionCode0
Exploring Robustness of Multilingual LLMs on Real-World Noisy DataCode0
Evaluating Named Entity Recognition: A comparative analysis of mono- and multilingual transformer models on a novel Brazilian corporate earnings call transcripts datasetCode0
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