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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 941–950 of 1729 papers

TitleStatusHype
TeluguNER: Leveraging Multi-Domain Named Entity Recognition with Deep Transformers—0
Terminologies augmented recurrent neural network model for clinical named entity recognition—0
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text—0
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling—0
TexSmart: A System for Enhanced Natural Language Understanding—0
TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis—0
Text2Insight: Transform natural language text into insights seamlessly using multi-model architecture—0
TextMosaic: A New Data Augmentation Method for Named Entity Recognition Using Document-Level Contexts—0
Text Segmentation using Named Entity Recognition and Co-reference Resolution in English and Greek Texts—0
Text to Insight: Accelerating Organic Materials Knowledge Extraction via Deep Learning—0
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