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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 831–840 of 1729 papers

TitleStatusHype
Crossroads, Buildings and Neighborhoods: A Dataset for Fine-grained Location RecognitionCode0
OPDAI at SemEval-2022 Task 11: A hybrid approach for Chinese NER using outside Wikipedia knowledge—0
Cross-Language Transfer of High-Quality Annotations: Combining Neural Machine Translation with Cross-Linguistic Span Alignment to Apply NER to Clinical Texts in a Low-Resource LanguageCode0
SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)—0
JBNU-CCLab at SemEval-2022 Task 12: Machine Reading Comprehension and Span Pair Classification for Linking Mathematical Symbols to Their DescriptionsCode0
Generating unlabelled data for a tri-training approach in a low resourced NER taskCode0
KDDIE at SemEval-2022 Task 11: Using DeBERTa for Named Entity Recognition—0
Sentence-Level Resampling for Named Entity RecognitionCode0
Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial LabelsCode0
Sliced at SemEval-2022 Task 11: Bigger, Better? Massively Multilingual LMs for Multilingual Complex NER on an Academic GPU Budget—0
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