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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 1361–1370 of 1729 papers

TitleStatusHype
UZH@CRAFT-ST: a Sequence-labeling Approach to Concept Recognition—0
A Deep Learning-Based System for PharmaCoNER—0
SoulMate: Short-text author linking through Multi-aspect temporal-textual embedding—0
A Survey on Recent Advances in Named Entity Recognition from Deep Learning modelsCode0
Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity RecognitionCode0
Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized RepresentationsCode0
Healthcare NER Models Using Language Model Pretraining—0
Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service—0
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy LabelsCode0
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified FrameworkCode0
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