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 691–700 of 1729 papers

TitleStatusHype
NERDA-Con: Extending NER models for Continual Learning -- Integrating Distinct Tasks and Updating Distribution ShiftsCode1
Evaluation of Embedding Models for Automatic Extraction and Classification of Acknowledged Entities in Scientific Documents—0
TOKEN is a MASK: Few-shot Named Entity Recognition with Pre-trained Language ModelsCode1
Contextualization and Generalization in Entity and Relation Extraction—0
CMNEROne at SemEval-2022 Task 11: Code-Mixed Named Entity Recognition by leveraging multilingual data—0
Searching for Optimal Subword Tokenization in Cross-domain NERCode0
Enriching a Fashion Knowledge Graph from Product Textual Descriptions—0
MNLP at FinCausal2022: Nested NER with a Generative Model—0
AsNER - Annotated Dataset and Baseline for Assamese Named Entity recognition—0
ChiMST: A Chinese Medical Corpus for Word Segmentation and Medical Term RecognitionCode0
Show:102550
← PrevPage 70 of 173Next →

No leaderboard results yet.