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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 1271–1280 of 1729 papers

TitleStatusHype
Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER Identification—0
Named Entity Recognition without Labelled Data: A Weak Supervision ApproachCode1
Entity Candidate Network for Whole-Aware Named Entity Recognition—0
Extending Multilingual BERT to Low-Resource Languages—0
An Effective Transition-based Model for Discontinuous NERCode1
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target LanguageCode0
A Named Entity Based Approach to Model RecipesCode1
A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?—0
Hierarchical Multi Task Learning with Subword Contextual Embeddings for Languages with Rich Morphology—0
Towards Discourse Parsing-inspired Semantic Storytelling—0
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