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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 151–160 of 1729 papers

TitleStatusHype
Data Augmentation for Cross-Domain Named Entity RecognitionCode1
DANIEL: A fast Document Attention Network for Information Extraction and Labelling of handwritten documentsCode1
A Label-Aware Autoregressive Framework for Cross-Domain NERCode1
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERTCode1
A Large-Scale Chinese Multimodal NER Dataset with Speech CluesCode1
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity RecognitionCode1
ALBETO and DistilBETO: Lightweight Spanish Language ModelsCode1
Enhancing Entity Boundary Detection for Better Chinese Named Entity RecognitionCode1
Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based TechniqueCode1
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and NormalizationCode1
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