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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 1181–1190 of 1729 papers

TitleStatusHype
Chinese Named Entity Recognition via Adaptive Multi-pass Memory Network with Hierarchical Tagging Mechanism—0
Named Entity Recognition with Context-Aware Dictionary Knowledge—0
BENNERD: A Neural Named Entity Linking System for COVID-19—0
Evaluating Multilingual BERT for Estonian—0
Improving Vietnamese Named Entity Recognition from Speech Using Word Capitalization and Punctuation Recovery ModelsCode1
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text—0
DWIE: an entity-centric dataset for multi-task document-level information extractionCode1
Let's Stop Incorrect Comparisons in End-to-end Relation Extraction!Code1
Vector Projection Network for Few-shot Slot Tagging in Natural Language UnderstandingCode1
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition—0
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