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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 1081–1090 of 1729 papers

TitleStatusHype
A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings—0
A Comprehensive Analysis of Acknowledgement Texts in Web of Science: a case study on four scientific domains—0
A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models—0
Active Curriculum Learning—0
AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations—0
Adam Mickiewicz University at WMT 2022: NER-Assisted and Quality-Aware Neural Machine Translation—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
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning—0
Adapting Language Specific Components of Cross-Media Analysis Frameworks to Less-Resourced Languages: the Case of Amharic—0
Adapting the TTL Romanian POS Tagger to the Biomedical Domain—0
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