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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 921–930 of 1729 papers

TitleStatusHype
Pretraining without Wordpieces: Learning Over a Vocabulary of Millions of Words—0
CALCS 2021 Shared Task: Machine Translation for Code-Switched Data—0
TURNER: The Uncertainty-based Retrieval Framework for Chinese NER—0
Towards Effective Multi-Task Interaction for Entity-Relation Extraction: A Unified Framework with Selection Recurrent Network—0
A two-step approach to leverage contextual data: speech recognition in air-traffic communications—0
RNN Transducers for Nested Named Entity Recognition with constraints on alignment for long sequences—0
L3Cube-MahaCorpus and MahaBERT: Marathi Monolingual Corpus, Marathi BERT Language Models, and Resources—0
A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment AnalysisCode0
Distantly supervised end-to-end medical entity extraction from electronic health records with human-level quality—0
Razmecheno: Named Entity Recognition from Digital Archive of Diaries "Prozhito"—0
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