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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 776–800 of 1729 papers

TitleStatusHype
A Named Entity Recognition and Topic Modeling-based Solution for Locating and Better Assessment of Natural Disasters in Social Media—0
CRF-based Named Entity Recognition @ICON 2013—0
CRENER: A Character Relation Enhanced Chinese NER Model—0
Attack Named Entity Recognition by Entity Boundary Interference—0
Creating a Dataset for Named Entity Recognition in the Archaeology Domain—0
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
Coreference Resolution for Latvian—0
A Few-Shot Learning Focused Survey on Recent Named Entity Recognition and Relation Classification Methods—0
Conversion of Legal Agreements into Smart Legal Contracts using NLP—0
ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER—0
Contextual Text Embeddings for Twi—0
A Survey on Recent Advances in Sequence Labeling from Deep Learning Models—0
Contextualized Word Representations from Distant Supervision with and for NER—0
Contextualized French Language Models for Biomedical Named Entity Recognition—0
Contextualization and Generalization in Entity and Relation Extraction—0
Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study—0
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