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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 551–560 of 1729 papers

TitleStatusHype
Few-shot classification in Named Entity Recognition TaskCode0
Dynamic Named Entity RecognitionCode0
Domain-Specific Language Model Pretraining for Biomedical Natural Language ProcessingCode0
Evolution of ESG-focused DLT Research: An NLP Analysis of the LiteratureCode0
Enhancing deep neural networks with morphological informationCode0
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal ResourcesCode0
A Neural Multi-digraph Model for Chinese NER with GazetteersCode0
Effectiveness of Cross-linguistic Extraction of Genetic Information using Generative Large Language ModelsCode0
Enhancing Deep Learning with Embedded Features for Arabic Named Entity RecognitionCode0
A Neural Layered Model for Nested Named Entity RecognitionCode0
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