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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 571–580 of 1729 papers

TitleStatusHype
AlbNER: A Corpus for Named Entity Recognition in Albanian—0
Exploring Named Entity Recognition As an Auxiliary Task for Slot Filling in Conversational Language Understanding—0
Extracting Biomedical Entities from Noisy Audio Transcripts—0
Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training—0
Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP—0
CALCS 2021 Shared Task: Machine Translation for Code-Switched Data—0
A Pharmacovigilance Application of Social Media Mining: An Ensemble Approach for Automated Classification and Extraction of Drug Mentions in Tweets—0
Building OCR/NER Test Collections—0
"A Passage to India": Pre-trained Word Embeddings for Indian Languages—0
Adapting Language Specific Components of Cross-Media Analysis Frameworks to Less-Resourced Languages: the Case of Amharic—0
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