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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 331–340 of 1729 papers

TitleStatusHype
Few-shot classification in Named Entity Recognition TaskCode0
Assessing Demographic Bias in Named Entity RecognitionCode0
A Dataset and Strong Baselines for Classification of Czech News TextsCode0
Federated Incremental Named Entity RecognitionCode0
FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual FrameworkCode0
Generating unlabelled data for a tri-training approach in a low resourced NER taskCode0
Improved Differentiable Architecture Search for Language Modeling and Named Entity RecognitionCode0
Exploring Swedish & English fastText Embeddings for NER with the TransformerCode0
Extracting Impact Model Narratives from Social Services' TextCode0
Exploring Segment Representations for Neural Segmentation ModelsCode0
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