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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 211–220 of 1729 papers

TitleStatusHype
German's Next Language ModelCode1
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System MetathesaurusCode1
Coarse-to-Fine Pre-training for Named Entity RecognitionCode1
Named Entity Recognition and Relation Extraction using Enhanced Table Filling by Contextualized RepresentationsCode1
Local Additivity Based Data Augmentation for Semi-supervised NERCode1
Improving Vietnamese Named Entity Recognition from Speech Using Word Capitalization and Punctuation Recovery ModelsCode1
DWIE: an entity-centric dataset for multi-task document-level information extractionCode1
Let's Stop Incorrect Comparisons in End-to-end Relation Extraction!Code1
Vector Projection Network for Few-shot Slot Tagging in Natural Language UnderstandingCode1
fastHan: A BERT-based Multi-Task Toolkit for Chinese NLPCode1
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