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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 1351–1375 of 1729 papers

TitleStatusHype
Exploring Robustness of Multilingual LLMs on Real-World Noisy DataCode0
Fine-grained Contract NER using instruction based modelCode0
Fine-grained Entity Typing without Knowledge BaseCode0
Fine-Grained Error Analysis and Fair Evaluation of Labeled SpansCode0
Automatic Extraction of Nested Entities in Clinical Referrals in SpanishCode0
A Neural Layered Model for Nested Named Entity RecognitionCode0
SPLICE: A Singleton-Enhanced PipeLIne for Coreference REsolutionCode0
Exploring Partial Knowledge Base Inference in Biomedical Entity LinkingCode0
ANER: Arabic and Arabizi Named Entity Recognition using Transformer-Based ApproachCode0
Finetuning BERT on Partially Annotated NER CorporaCode0
Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial LabelsCode0
Towards Improving Neural Named Entity Recognition with GazetteersCode0
R2D2: Robust Data-to-Text with Replacement DetectionCode0
Exploiting Multiple Embeddings for Chinese Named Entity RecognitionCode0
Streamlining Social Media Information Retrieval for COVID-19 Research with Deep LearningCode0
Stress Test Evaluation of Biomedical Word EmbeddingsCode0
Multi-Grained Named Entity RecognitionCode0
CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence TranslationCode0
A Comparative Analysis of Static Word Embeddings for HungarianCode0
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity RecognitionCode0
Evolution of ESG-focused DLT Research: An NLP Analysis of the LiteratureCode0
FonMTL: Towards Multitask Learning for the Fon LanguageCode0
Foreseeing the Benefits of Incidental SupervisionCode0
Evaluation of a Sequence Tagging Tool for Biomedical TextsCode0
Student-Powered Digital Scholarship CoLab Project in the HKUST Library: Develop a Chinese Named-Entity Recognition (NER) Tool within One Semester from the Ground UpCode0
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