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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 1631–1640 of 1729 papers

TitleStatusHype
Learning Task-specific Representation for Novel Words in Sequence LabelingCode0
Sequence Labeling: A Practical ApproachCode0
BIOptimus: Pre-training an Optimal Biomedical Language Model with Curriculum Learning for Named Entity RecognitionCode0
Learning to Rank Context for Named Entity Recognition Using a Synthetic DatasetCode0
Biomedical Named Entity Recognition at ScaleCode0
Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region NetworksCode0
A Multi-way Parallel Named Entity Annotated Corpus for English, Tamil and SinhalaCode0
Biomedical Language Models are Robust to Sub-optimal TokenizationCode0
Optimizing small BERTs trained for German NERCode0
AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NERCode0
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