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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 631–640 of 1729 papers

TitleStatusHype
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
METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related TweetsCode1
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
Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based TechniqueCode1
CAE: Mechanism to Diminish the Class Imbalanced in SLU Slot Filling TaskCode0
T-NER: An All-Round Python Library for Transformer-based Named Entity RecognitionCode2
Adam Mickiewicz University at WMT 2022: NER-Assisted and Quality-Aware Neural Machine Translation—0
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