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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 1361–1370 of 1729 papers

TitleStatusHype
Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial LabelsCode0
Towards Improving Neural Named Entity Recognition with GazetteersCode0
R2D2: Robust Data-to-Text with Replacement DetectionCode0
Exploiting Multiple Embeddings for Chinese Named Entity RecognitionCode0
Streamlining Social Media Information Retrieval for COVID-19 Research with Deep LearningCode0
Stress Test Evaluation of Biomedical Word EmbeddingsCode0
Multi-Grained Named Entity RecognitionCode0
CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence TranslationCode0
A Comparative Analysis of Static Word Embeddings for HungarianCode0
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity RecognitionCode0
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