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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 1441–1450 of 1729 papers

TitleStatusHype
A Neural Multi-digraph Model for Chinese NER with GazetteersCode0
Scaling up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product TitleCode0
Corpus Creation and Analysis for Named Entity Recognition in Telugu-English Code-Mixed Social Media Data—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
A Semi-Markov Structured Support Vector Machine Model for High-Precision Named Entity Recognition—0
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging—0
Merge and Label: A novel neural network architecture for nested NERCode0
Multi-Grained Named Entity RecognitionCode0
Towards Robust Named Entity Recognition for Historic GermanCode0
Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region NetworksCode0
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