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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 1111–1120 of 1729 papers

TitleStatusHype
A Local Detection Approach for Named Entity Recognition and Mention Detection—0
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging—0
A Machine Learning Approach to Quantitative Prosopography—0
A Marker-based Neural Network System for Extracting Social Determinants of Health—0
A More Efficient Chinese Named Entity Recognition base on BERT and Syntactic Analysis—0
A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition—0
A Multilingual Evaluation of NER Robustness to Adversarial Inputs—0
A multimodal deep learning approach for named entity recognition from social media—0
A Multi-Strategy Approach for Location Mining in Tweets: AUT NLP Group Entry for ALTA-2014 Shared Task—0
A Multi-task Learning Approach for Named Entity Recognition using Local Detection—0
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