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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 871–880 of 1729 papers

TitleStatusHype
SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models—0
R2D2: Robust Data-to-Text with Replacement DetectionCode0
Know Where You're Going: Meta-Learning for Parameter-Efficient Fine-Tuning—0
Overview of STEM Science as Process, Method, Material, and Data Named EntitiesCode0
FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge source—0
A Natural Language Processing Pipeline for Detecting Informal Data References in Academic Literature—0
A reproducible experimental survey on biomedical sentence similarity: a string-based method sets the state of the art—0
Feature Aggregation in Zero-Shot Cross-Lingual Transfer Using Multilingual BERT—0
NER-MQMRC: Formulating Named Entity Recognition as Multi Question Machine Reading Comprehension—0
Comparing Open Arabic Named Entity Recognition Tools—0
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