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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 121–130 of 1729 papers

TitleStatusHype
An Embarrassingly Easy but Strong Baseline for Nested Named Entity RecognitionCode1
GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity RecognitionCode1
AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African LanguagesCode1
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NERCode1
GSAP-NER: A Novel Task, Corpus, and Baseline for Scholarly Entity Extraction Focused on Machine Learning Models and DatasetsCode1
A FOFE-based Local Detection Approach for Named Entity Recognition and Mention DetectionCode1
A Span-Based Model for Joint Overlapped and Discontinuous Named Entity RecognitionCode1
A Robust and Domain-Adaptive Approach for Low-Resource Named Entity RecognitionCode1
A Sequence-to-Set Network for Nested Named Entity RecognitionCode1
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and NormalizationCode1
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