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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 1171–1180 of 1729 papers

TitleStatusHype
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System MetathesaurusCode1
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
Coarse-to-Fine Pre-training for Named Entity RecognitionCode1
Named Entity Recognition and Relation Extraction using Enhanced Table Filling by Contextualized RepresentationsCode1
Constrained Decoding for Computationally Efficient Named Entity Recognition TaggersCode0
Adaptive Self-training for Few-shot Neural Sequence Labeling—0
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African LanguagesCode0
Dissecting Span Identification Tasks with Performance Prediction—0
Local Additivity Based Data Augmentation for Semi-supervised NERCode1
NLP Service APIs and Models for Efficient Registration of New Clients—0
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