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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 721–730 of 1729 papers

TitleStatusHype
Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets—0
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NERCode0
ProKD: An Unsupervised Prototypical Knowledge Distillation Network for Zero-Resource Cross-Lingual Named Entity Recognition—0
What's happening in your neighborhood? A Weakly Supervised Approach to Detect Local News—0
Adversarial Adaptation for French Named Entity RecognitionCode0
NarrowBERT: Accelerating Masked Language Model Pretraining and InferenceCode0
OPD@NL4Opt: An ensemble approach for the NER task of the optimization problem—0
Learning Ambiguity from Crowd Sequential Annotations—0
Floods Relevancy and Identification of Location from Twitter Posts using NLP Techniques—0
Linear programming word problems formulation using EnsembleCRF NER labeler and T5 text generator with data augmentations—0
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