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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 801–825 of 1729 papers

TitleStatusHype
Improving Neural Sequence Labelling using Additional Linguistic Information—0
H2-Golden-Retriever: Methodology and Tool for an Evidence-Based Hydrogen Research Grantsmanship—0
Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding—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
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling—0
HardEval: Focusing on Challenging Tokens to Assess Robustness of NER—0
HAREM: the first evaluation contest for Named Entity Recognition in Portuguese—0
Incorporating External Annotation to improve Named Entity Translation in NMT—0
HealthE: Classifying Entities in Online Textual Health Advice—0
HealthQ: Unveiling Questioning Capabilities of LLM Chains in Healthcare Conversations—0
Investigating LLM Applications in E-Commerce—0
Embeddings for Named Entity Recognition in Geoscience Portuguese Literature—0
HFST-SweNER --- A New NER Resource for Swedish—0
Biomedical Nested NER with Large Language Model and UMLS Heuristics—0
Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping—0
Hierarchical Multi Task Learning with Subword Contextual Embeddings for Languages with Rich Morphology—0
Hierarchical Region Learning for Nested Named Entity Recognition—0
ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER—0
High Quality ELMo Embeddings for Seven Less-Resourced Languages—0
High Quality ELMo Embeddings for Seven Less-Resourced Languages—0
HILGEN: Hierarchically-Informed Data Generation for Biomedical NER Using Knowledgebases and Large Language Models—0
An Investigation towards Differentially Private Sequence Tagging in a Federated Framework—0
Biomedical NER using Novel Schema and Distant Supervision—0
Improving Multilingual Models with Language-Clustered Vocabularies—0
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