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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 276–300 of 1729 papers

TitleStatusHype
Benchmarking Biomedical Nested NER and Relation Extraction Models—0
An Emergency Medical Services Clinical Audit System driven by Named Entity Recognition from Deep Learning—0
A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models—0
Comparative Analysis of Named Entity Recognition in the Dungeons and Dragons Domain—0
Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER—0
An Element-wise Visual-enhanced BiLSTM-CRF Model for Location Name Recognition—0
Comparative Analysis of Encoder-Based NER and Large Language Models for Skill Extraction from Russian Job Vacancies—0
Converse Attention Knowledge Transfer for Low-Resource Named Entity Recognition—0
BabyLMs for isiXhosa: Data-Efficient Language Modelling in a Low-Resource Context—0
Comparative Analysis of Extrinsic Factors for NER in French—0
Comparative Study of Zero-Shot Cross-Lingual Transfer for Bodo POS and NER Tagging Using Gemini 2.0 Flash Thinking Experimental Model—0
Comparison and Adaptation of Automatic Evaluation Metrics for Quality Assessment of Re-Speaking—0
A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks—0
Auxiliary Sequence Labeling Tasks for Disfluency Detection—0
Auxiliary Learning for Named Entity Recognition with Multiple Auxiliary Biomedical Training Data—0
AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction—0
An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts—0
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction—0
An Easy-to-use and Robust Approach for the Differentially Private De-Identification of Clinical Textual Documents—0
Adversarial Learning for Chinese NER from Crowd Annotations—0
A Comprehensive Analysis of Acknowledgement Texts in Web of Science: a case study on four scientific domains—0
Combining Minimally-supervised Methods for Arabic Named Entity Recognition—0
Combining neural and knowledge-based approaches to Named Entity Recognition in Polish—0
Automatic Creation of Named Entity Recognition Datasets by Querying Phrase Representations—0
Automatic Coding at Scale: Design and Deployment of a Nationwide System for Normalizing Referrals in the Chilean Public Healthcare System—0
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