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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 1501–1510 of 1729 papers

TitleStatusHype
Classification of US Supreme Court Cases using BERT-Based TechniquesCode0
Improving Chemical Named Entity Recognition in Patents with Contextualized Word EmbeddingsCode0
Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain CorporaCode0
Transformer-Based Named Entity Recognition for Automated Server ProvisioningCode0
Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case StudyCode0
Efficient Sequence Labeling with Actor-Critic TrainingCode0
RISC: Generating Realistic Synthetic Bilingual Insurance ContractCode0
RITA: Automatic Framework for Designing of Resilient IoT ApplicationsCode0
NarrowBERT: Accelerating Masked Language Model Pretraining and InferenceCode0
UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled DataCode0
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