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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 491–500 of 1729 papers

TitleStatusHype
A Novel Approach for Auto-Formulation of Optimization ProblemsCode0
Entity Projection via Machine Translation for Cross-Lingual NERCode0
Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic ModelCode0
On-the-Job Learning with Bayesian Decision TheoryCode0
Entity Recognition at First Sight: Improving NER with Eye Movement InformationCode0
Design Challenges and Misconceptions in Neural Sequence LabelingCode0
Benchmarking Pre-trained Language Models for Multilingual NER: TraSpaS at the BSNLP2021 Shared TaskCode0
Evaluating the Utility of Hand-crafted Features in Sequence LabellingCode0
Exploring Swedish & English fastText Embeddings for NER with the TransformerCode0
Enhancing deep neural networks with morphological informationCode0
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