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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 261–270 of 1729 papers

TitleStatusHype
NERetrieve: Dataset for Next Generation Named Entity Recognition and RetrievalCode1
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
Few-shot classification in Named Entity Recognition TaskCode0
Federated Incremental Named Entity RecognitionCode0
A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity RecognitionCode0
Benchmarking Pre-trained Language Models for Multilingual NER: TraSpaS at the BSNLP2021 Shared TaskCode0
AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NERCode0
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy LabelsCode0
Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace SelectionCode0
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition SystemsCode0
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