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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 931–940 of 1729 papers

TitleStatusHype
BTPK-based interpretable method for NER tasks based on Talmudic Public Announcement Logic—0
Legal Entity Extraction using a Pointer Generator Network—0
One Step Is Enough for Few-Shot Cross-Lingual Transfer: Co-Training with Gradient Optimization—0
Surprisingly Simple Adapter Ensembling for Zero-Shot Cross-Lingual Sequence Tagging—0
EiCi: A New Method of Dynamic Embedding Incorporating Contextual Information in Chinese NER—0
Generate it. A simple method for End-to-End Relation Extraction—0
Sentence-Level Resampling for Named Entity Recognition—0
VEE-BERT: Accelerating BERT Inference for Named Entity Recognition via Vote Early Exiting—0
Fine-grained Location Extraction via Curriculum Learning—0
The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot Transfer—0
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