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Named Entity Recognition

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TitleStatusHype
GEPSA, a tool for monitoring social challenges in digital press—0
Hallym: Named Entity Recognition on Twitter with Word Representation—0
HAMNER: Headword Amplified Multi-span Distantly Supervised Method for Domain Specific Named Entity Recognition—0
Handling and extracting key entities from customer conversations using Speech recognition and Named Entity recognition—0
HAREM: the first evaluation contest for Named Entity Recognition in Portuguese—0
Comparing Named-Entity Recognizers in a Targeted Domain: Handcrafted Rules vs Machine Learning—0
Hashtag Processing for Enhanced Clustering of Tweets—0
Geoparsing the historical Gazetteers of Scotland: accurately computing location in mass digitised texts—0
hauWE: Hausa Words Embedding for Natural Language Processing—0
A Rule-Based Methodology for Company Identification: Application to the Downstream Space Sector—0
H-COAL: Human Correction of AI-Generated Labels for Biomedical Named Entity Recognition—0
Composited-Nested-Learning with Data Augmentation for Nested Named Entity Recognition—0
HealthQ: Unveiling Questioning Capabilities of LLM Chains in Healthcare Conversations—0
Generative Context-aware Fine-tuning of Self-supervised Speech Models—0
Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service—0
Generative AI for Named Entity Recognition in Low-Resource Language Nepali—0
HeRo: RoBERTa and Longformer Hebrew Language Models—0
HFST-SweNER --- A New NER Resource for Swedish—0
Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges—0
Generative AI for Business Strategy: Using Foundation Models to Create Business Strategy Tools—0
AsNER -- Annotated Dataset and Baseline for Assamese Named Entity recognition—0
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training—0
Hierarchical Multi Task Learning with Subword Contextual Embeddings for Languages with Rich Morphology—0
Artificial Intelligence in Brazilian News: A Mixed-Methods Analysis—0
Generating Task-Pertinent sorted Error Lists for Speech Recognition—0
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