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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 861–870 of 1729 papers

TitleStatusHype
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition—0
Chinese Word Attention based on Valid Division of Sentence—0
Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled Learning—0
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER—0
Rethinking Negative Sampling for Handling Missing Entity Annotations—0
TextMosaic: A New Data Augmentation Method for Named Entity Recognition Using Document-Level Contexts—0
A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment Analysis—0
Zero-Shot Learning in Named-Entity Recognition with External KnowledgeCode1
Focusing on Potential Named Entities During Active Label AcquisitionCode1
A PubMedBERT-based Classifier with Data Augmentation Strategy for Detecting Medication Mentions in Tweets—0
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