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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 91–100 of 1729 papers

TitleStatusHype
Mitigating Out-of-Entity Errors in Named Entity Recognition: A Sentence-Level Strategy—0
Shifting NER into High Gear: The Auto-AdvER Approach—0
The Use of Artificial Intelligence in Military Intelligence: An Experimental Investigation of Added Value in the Analysis Process—0
A Rule-Based Methodology for Company Identification: Application to the Downstream Space Sector—0
A Multi-way Parallel Named Entity Annotated Corpus for English, Tamil and SinhalaCode0
GerPS-Compare: Comparing NER methods for legal norm analysis—0
BANER: Boundary-Aware LLMs for Few-Shot Named Entity RecognitionCode0
Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations—0
Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace SelectionCode0
Extracting Information in a Low-resource Setting: Case Study on Bioinformatics Workflows—0
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