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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 311–320 of 1729 papers

TitleStatusHype
A Natural Language Processing Pipeline for Detecting Informal Data References in Academic Literature—0
Connecting Distant Entities with Induction through Conditional Random Fields for Named Entity Recognition: Precursor-Induced CRF—0
Contextual Text Embeddings for Twi—0
A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named Entity Recognition—0
A Discriminative Neural Model for Cross-Lingual Word Alignment—0
Augmenty: A Python Library for Structured Text Augmentation—0
Augmenting NER Datasets with LLMs: Towards Automated and Refined Annotation—0
An analysis of full-size Russian complexly NER labelled corpus of Internet user reviews on the drugs based on deep learning and language neural nets—0
Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision—0
Augmenting Named Entity Recognition with Commonsense Knowledge—0
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