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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

Showing 826850 of 1729 papers

TitleStatusHype
Did You Enjoy the Last Supper? An Experimental Study on Cross-Domain NER Models for the Art DomainCode0
Cross-lingual Alignment of Knowledge Graph Triples with Sentences0
Multi-task pre-finetuning for zero-shot cross lingual transfer0
Named Entity-Factored Transformer for Proper Noun Translation0
Wiki to Automotive: Understanding the Distribution Shift and its impact on Named Entity Recognition0
NER-BERT: A Pre-trained Model for Low-Resource Entity Tagging0
Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches0
KARL-Trans-NER: Knowledge Aware Representation Learning for Named Entity Recognition using Transformers0
Few-shot Named Entity Recognition with Cloze Questions0
CL-NERIL: A Cross-Lingual Model for NER in Indian LanguagesCode0
Enhancing Multilingual Language Model with Massive Multilingual Knowledge TriplesCode1
Improving Tagging Consistency and Entity Coverage for Chemical Identification in Full-text Articles0
Textual Entailment with Dynamic Contrastive Learning for Zero-shot NER0
Computer Science Articles Named Entity Recognition Datasets: Survey and Our Recent Development0
Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing0
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective0
Explicit Modeling the Context for Chinese NER0
Packed Levitated Marker for Entity and Relation Extraction0
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity RecognitionCode0
Topic Sentence Named Entity Recognition: A New Task with Its Dataset and Benchmarks0
Distill and Calibrate: Denoising Inconsistent Labeling Instances for Chinese Named Entity Recognition0
Distantly Supervised Named Entity Recognition with Category-Oriented Confidence CalibrationCode0
Learning to Learn Recognising Biomedical Entities from Multiple Domains with Task Hardness0
Unsupervised Domain Adaptation with Contrastive Learning for Cross-domain Chinese NER0
AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction0
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