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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 891–900 of 1729 papers

TitleStatusHype
Benchmarking Biomedical Nested NER and Relation Extraction Models—0
Learning Rich Representation of Keyphrases from Text—0
A Pharmacovigilance Application of Social Media Mining: An Ensemble Approach for Automated Classification and Extraction of Drug Mentions in Tweets—0
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NERCode1
Named Entity Recognition in Unstructured Medical Text Documents—0
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity RecognitionCode1
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer NetworksCode1
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising LearningCode1
Noisy Text Data: Achilles' Heel of popular transformer based NLP models—0
Protagonists' Tagger in Literary Domain -- New Datasets and a Method for Person Entity Linkage—0
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