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 611–620 of 1729 papers

TitleStatusHype
HealthE: Classifying Entities in Online Textual Health Advice—0
SLICER: Sliced Fine-Tuning for Low-Resource Cross-Lingual Transfer for Named Entity RecognitionCode0
John_Snow_Labs@SMM4H’22: Social Media Mining for Health (#SMM4H) with Spark NLP—0
READ-BioMed@SocialDisNER: Adaptation of an Annotation System to Spanish Tweets—0
Romanian micro-blogging named entity recognition including health-related entities—0
UB Health Miners@SMM4H’22: Exploring Pre-processing Techniques To Classify Tweets Using Transformer Based Pipelines.—0
“Kanglish alli names!” Named Entity Recognition for Kannada-English Code-Mixed Social Media Data—0
IAI @ SocialDisNER : Catch me if you can! Capturing complex disease mentions in tweetsCode0
PCBERT: Parent and Child BERT for Chinese Few-shot NERCode0
Large Sequence Representation Learning via Multi-Stage Latent Transformers—0
Show:102550
← PrevPage 62 of 173Next →

No leaderboard results yet.