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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 1131–1140 of 1729 papers

TitleStatusHype
CalibreNet: Calibration Networks for Multilingual Sequence Labeling—0
Biomedical Information Extraction for Disease Gene Prioritization—0
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks—0
Exhaustive Entity Recognition for Coptic: Challenges and Solutions—0
Crime event localization and deduplication—0
Incorporating External Annotation to improve Named Entity Translation in NMT—0
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling—0
WNUT 2020 Shared Task-1: Conditional Random Field(CRF) based Named Entity Recognition(NER) for Wet Lab ProtocolsCode0
IITKGP at W-NUT 2020 Shared Task-1: Domain specific BERT representation for Named Entity Recognition of lab protocolCode1
BiTeM at WNUT 2020 Shared Task-1: Named Entity Recognition over Wet Lab Protocols using an Ensemble of Contextual Language Models—0
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