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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 926–950 of 1729 papers

TitleStatusHype
Surprisingly Simple Adapter Ensembling for Zero-Shot Cross-Lingual Sequence Tagging—0
Surveillance of COVID-19 Pandemic using Social Media: A Reddit Study in North Carolina—0
Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools—0
SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data—0
Biomedical Named Entity Recognition via Reference-Set Augmented Bootstrapping—0
Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI—0
Synapse at CAp 2017 NER challenge: Fasttext CRF—0
Synergizing Unsupervised and Supervised Learning: A Hybrid Approach for Accurate Natural Language Task Modeling—0
Syst\`eme hybride pour la reconnaissance des entit\'es nomm\'ees arabes \`a base des CRF (Hybrid arabic NER system using CRF Model)—0
Tackling Code-Switched NER: Participation of CMU—0
Tafsir Dataset: A Novel Multi-Task Benchmark for Named Entity Recognition and Topic Modeling in Classical Arabic Literature—0
Tamil NER - Coping with Real Time Challenges—0
Targetable Named Entity Recognition in Social Media—0
Taxonomy Expansion for Named Entity Recognition—0
TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network—0
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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