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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 801–810 of 1729 papers

TitleStatusHype
MRC-based Medical NER with Multi-task Learning and Multi-strategies—0
Tafsir Dataset: A Novel Multi-Task Benchmark for Named Entity Recognition and Topic Modeling in Classical Arabic Literature—0
Depth-Wise Attention (DWAtt): A Layer Fusion Method for Data-Efficient Classification—0
How to tackle an emerging topic? Combining strong and weak labels for Covid news NERCode0
Named Entity Recognition in Industrial Tables using Tabular Language Models—0
Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding—0
An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts—0
DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech Entity Linking—0
CAE: Mechanism to Diminish the Class Imbalanced in SLU Slot Filling TaskCode0
Adam Mickiewicz University at WMT 2022: NER-Assisted and Quality-Aware Neural Machine Translation—0
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