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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 651–660 of 1729 papers

TitleStatusHype
Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes—0
An Embarrassingly Easy but Strong Baseline for Nested Named Entity RecognitionCode1
The Impact of Data Corruption on Named Entity Recognition for Low-resourced Languages—0
SciAnnotate: A Tool for Integrating Weak Labeling Sources for Sequence LabelingCode0
A Noise-Robust Loss for Unlabeled Entity Problem in Named Entity Recognition—0
Global Pointer: Novel Efficient Span-based Approach for Named Entity Recognition—0
KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports—0
DictBERT: Dictionary Description Knowledge Enhanced Language Model Pre-training via Contrastive Learning—0
Accurate clinical and biomedical Named entity recognition at scaleCode3
Multilinguals at SemEval-2022 Task 11: Complex NER in Semantically Ambiguous Settings for Low Resource LanguagesCode0
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