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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
A reproducible experimental survey on biomedical sentence similarity: a string-based method sets the state of the art—0
Feature Aggregation in Zero-Shot Cross-Lingual Transfer Using Multilingual BERT—0
Hero-Gang Neural Model For Named Entity RecognitionCode1
Comparing Open Arabic Named Entity Recognition Tools—0
NER-MQMRC: Formulating Named Entity Recognition as Multi Question Machine Reading Comprehension—0
NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity RecognitionCode1
Ontology-Driven and Weakly Supervised Rare Disease Identification from Clinical NotesCode1
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph CompletionCode2
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity?—0
Biographical: A Semi-Supervised Relation Extraction Dataset—0
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