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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...

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Showing 671–680 of 1729 papers

TitleStatusHype
Chatbot: A Conversational Agent employed with Named Entity Recognition Model using Artificial Neural Network—0
Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training—0
Extrinsic Factors Affecting the Accuracy of Biomedical NER—0
F10-SGD: Fast Training of Elastic-net Linear Models for Text Classification and Named-entity Recognition—0
Enhanced E-Commerce Attribute Extraction: Innovating with Decorative Relation Correction and LLAMA 2.0-Based Annotation—0
FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge source—0
English Recipe Flow Graph Corpus—0
Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging—0
BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge—0
F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media—0
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