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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 1131–1140 of 1729 papers

TitleStatusHype
Generating Information Extraction Patterns from Overlapping and Variable Length Annotations using Sequence Alignment—0
Generating Task-Pertinent sorted Error Lists for Speech Recognition—0
Generative AI for Business Strategy: Using Foundation Models to Create Business Strategy Tools—0
Generative AI for Named Entity Recognition in Low-Resource Language Nepali—0
Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations—0
A Framework for Leveraging Partially-Labeled Data for Product Attribute-Value Identification—0
Geoparsing the historical Gazetteers of Scotland: accurately computing location in mass digitised texts—0
German BERT Model for Legal Named Entity Recognition—0
German NER with a Multilingual Rule Based Information Extraction System: Analysis and Issues—0
GerPS-Compare: Comparing NER methods for legal norm analysis—0
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