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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 1371–1380 of 1729 papers

TitleStatusHype
A Survey on Recent Advances in Named Entity Recognition from Deep Learning modelsCode0
Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized RepresentationsCode0
Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity RecognitionCode0
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
Towards De-identification of Legal Texts—0
Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019Code0
Why Attention? Analyzing and Remedying BiLSTM Deficiency in Modeling Cross-Context for NER—0
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