SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1681–1690 of 1729 papers

TitleStatusHype
PersoNER: Persian Named-Entity RecognitionCode0
Deep Affix Features Improve Neural Named Entity RecognizersCode0
A Feature-Rich Vietnamese Named-Entity Recognition ModelCode0
PEYMA: A Tagged Corpus for Persian Named EntitiesCode0
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target LanguageCode0
Phone-ing it in: Towards Flexible Multi-Modal Language Model Training by Phonetic Representations of DataCode0
CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic ModelingCode0
Single versus Multiple Annotation for Named Entity Recognition of MutationsCode0
Data Centric Domain Adaptation for Historical Text with OCR ErrorsCode0
P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language ModelsCode0
Show:102550
← PrevPage 169 of 173Next →

No leaderboard results yet.