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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

Showing 426450 of 1729 papers

TitleStatusHype
Attribute Value Generation from Product Title using Language Models0
Combining Minimally-supervised Methods for Arabic Named Entity Recognition0
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network0
Cross-domain Named Entity Recognition via Graph Matching0
AUC Maximization for Low-Resource Named Entity Recognition0
Adaptive Threshold Selective Self-Attention for Chinese NER0
A Semi-Supervised BERT Approach for Arabic Named Entity Recognition0
Cross-lingual alignments of ELMo contextual embeddings0
Audio De-identification - a New Entity Recognition Task0
Cross-Lingual IPA Contrastive Learning for Zero-Shot NER0
Cross-Lingual Named Entity Recognition Using Parallel Corpus: A New Approach Using XLM-RoBERTa Alignment0
Cross-Lingual Named Entity Recognition via FastAlign: a Case Study0
Cross-Lingual NER for Financial Transaction Data in Low-Resource Languages0
Cross-Lingual News Event Correlation for Stock Market Trend Prediction0
Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning0
Cross-lingual Pseudo-Projected Expectation Regularization for Weakly Supervised Learning0
Cross-Lingual Transfer for Distantly Supervised and Low-resources Indonesian NER0
A multimodal deep learning approach for named entity recognition from social media0
Development and Evaluation of Three Named Entity Recognition Systems for Serbian - The Case of Personal Names0
A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named Entity Recognition0
Cross Script Hindi English NER Corpus from Wikipedia0
Development of a WAZOBIA-Named Entity Recognition System0
DGT-TM: A freely Available Translation Memory in 22 Languages0
Automated Detection of Clinical Entities in Lung and Breast Cancer Reports Using NLP Techniques0
A Semi-Markov Structured Support Vector Machine Model for High-Precision Named Entity Recognition0
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