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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 1201–1225 of 1729 papers

TitleStatusHype
Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding—0
Improving Word Vector with Prior Knowledge in Semantic Dictionary—0
In-Context Learning for Few-Shot Nested Named Entity Recognition—0
In-Context Learning on a Budget: A Case Study in Token Classification—0
Incorporating Class-based Language Model for Named Entity Recognition in Factorized Neural Transducer—0
Incorporating External Annotation to improve Named Entity Translation in NMT—0
Incorporating Lexico-semantic Heuristics into Coreference Resolution Sieves for Named Entity Recognition at Document-level—0
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text—0
INDUS: Effective and Efficient Language Models for Scientific Applications—0
Industry Scale Semi-Supervised Learning for Natural Language Understanding—0
Inflection-Tolerant Ontology-Based Named Entity Recognition for Real-Time Applications—0
Information Extraction: An application to the domain of hyper-local financial data on developing countries—0
Information Extraction in Domain and Generic Documents: Findings from Heuristic-based and Data-driven Approaches—0
Injecting Categorical Labels and Syntactic Information into Biomedical NER—0
In Search of Meaning: Lessons, Resources and Next Steps for Computational Analysis of Financial Discourse—0
Inspire the Large Language Model by External Knowledge on BioMedical Named Entity Recognition—0
Integrating Dictionary Feature into A Deep Learning Model for Disease Named Entity Recognition—0
Investigating LLM Applications in E-Commerce—0
Invited Presentation—0
Iterative Auto-Annotation for Scientific Named Entity Recognition Using BERT-Based Models—0
JABER and SABER: Junior and Senior Arabic BERt—0
J-NERD: Joint Named Entity Recognition and Disambiguation with Rich Linguistic Features—0
John_Snow_Labs@SMM4H’22: Social Media Mining for Health (#SMM4H) with Spark NLP—0
Joint Learning of Named Entity Recognition and Entity Linking—0
Joint Learning with Pre-trained Transformer on Named Entity Recognition and Relation Extraction Tasks for Clinical Analytics—0
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