AdaGram in Python: An AI Framework for Multi-Sense Embedding in Text and Scientific Formulas

The Adaptive Skip-gram (AdaGram) algorithm extends traditional word embeddings by learning multiple vector representations per word, enabling the capture of contextual meanings and polysemy. Originally implemented in Julia, AdaGram has seen limited adoption due to ecosystem fragmentation and the com...

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Detalhes bibliográficos

Principais autores:	Arun Josephraj Arokiaraj, Samah Ibrahim, André Then, Bashar Ibrahim, Stephan Peter
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-07-01
coleção:	Mathematics
Assuntos:	AdaGram word sense disambiguation scientific formula analysis semantic relationships natural language processing information retrieval
Acesso em linha:	https://www.mdpi.com/2227-7390/13/14/2241
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