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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 781–790 of 1729 papers

TitleStatusHype
CPE-Identifier: Automated CPE identification and CVE summaries annotation with Deep Learning and NLP—0
AttackER: Towards Enhancing Cyber-Attack Attribution with a Named Entity Recognition Dataset—0
COVID-19: A Semantic-Based Pipeline for Recommending Biomedical Entities—0
Counterfactual Thinking for Long-tailed Information Extraction—0
A Trigger-Aware Multi-Task Learning for Chinese Event Entity Recognition—0
Analyzing Regional Impacts of Climate Change using Natural Language Processing Techniques—0
A Deep Learning-Based System for PharmaCoNER—0
A Brief History of Named Entity Recognition—0
Corpus Creation and Analysis for Named Entity Recognition in Telugu-English Code-Mixed Social Media Data—0
基於已知名稱搜尋結果的網路實體辨識模型建立工具(A Tool for Web NER Model Generation Using Search Snippets of Known Entities) [In Chinese]—0
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