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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 441–450 of 1729 papers

TitleStatusHype
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity RecognizersCode0
Exploring Partial Knowledge Base Inference in Biomedical Entity LinkingCode0
Exploring Segment Representations for Neural Segmentation ModelsCode0
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language ModelsCode0
Crossroads, Buildings and Neighborhoods: A Dataset for Fine-grained Location RecognitionCode0
An attention-based BiLSTM-CRF approach to document-level chemical named entity recognitionCode0
Evolution of ESG-focused DLT Research: An NLP Analysis of the LiteratureCode0
A Dual-Contrastive Framework for Low-Resource Cross-Lingual Named Entity RecognitionCode0
Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity RecognitionCode0
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity RecognitionCode0
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