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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 1171–1180 of 1729 papers

TitleStatusHype
Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks—0
A reproducible experimental survey on biomedical sentence similarity: a string-based method sets the state of the art—0
Are We NER Yet? Measuring the Impact of ASR Errors on Named Entity Recognition in Spontaneous Conversation Transcripts—0
Are you a hero or a villain? A semantic role labelling approach for detecting harmful memes.—0
A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?—0
A Rule-Based Methodology for Company Identification: Application to the Downstream Space Sector—0
A Semi-Markov Structured Support Vector Machine Model for High-Precision Named Entity Recognition—0
A Semi-Supervised BERT Approach for Arabic Named Entity Recognition—0
A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment Analysis—0
AsNER -- Annotated Dataset and Baseline for Assamese Named Entity recognition—0
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