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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 391–400 of 1729 papers

TitleStatusHype
ComboNER: A Lightweight All-In-One POS Tagger, Dependency Parser and NER—0
A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment Analysis—0
CoNECo: A corpus for named entity recognition and normalization of protein complexes—0
Confidence penalty, annealing Gaussian noise and zoneout for biLSTM-CRF networks for named entity recognition—0
Combining neural and knowledge-based approaches to Named Entity Recognition in Polish—0
A Multi-Strategy Approach for Location Mining in Tweets: AUT NLP Group Entry for ALTA-2014 Shared Task—0
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks—0
A Study of the Importance of External Knowledge in the Named Entity Recognition Task—0
Combining Minimally-supervised Methods for Arabic Named Entity Recognition—0
Adaptive Threshold Selective Self-Attention for Chinese NER—0
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