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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 631–640 of 1729 papers

TitleStatusHype
A Knowledge-Enhanced Disease Diagnosis Method Based on Prompt Learning and BERT Integration—0
Boosting Named Entity Recognition with Neural Character Embeddings—0
Building OCR/NER Test Collections—0
"A Passage to India": Pre-trained Word Embeddings for Indian Languages—0
Enhance Robustness of Sequence Labelling with Masked Adversarial Training—0
Evaluation of Embedding Models for Automatic Extraction and Classification of Acknowledged Entities in Scientific Documents—0
Evaluation of large language model performance on the Biomedical Language Understanding and Reasoning Benchmark—0
Evaluation of LLM Chatbots for OSINT-based Cyber Threat Awareness—0
Adaptation d'une m\'etagrammaire du fran contemporain au fran m\'edi\'eval (Adapting an existing metagrammar for Contemporary French to Medieval French)—0
Annotation Guidelines for Corpus Novelties: Part 1 -- Named Entity Recognition—0
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