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Stemming vs. Lemmatization: What Healthcare Text Data Taught Me About NLP Choice...
Natural Language Processing (NLP) is used to analyse healthcare data. But how should we represent words to machines? Do we chop wo...
How AI is Reshaping Enterprise Analytics
Artificial Intelligence (AI) is transforming the way organizations manage and analyze information. Thirumal Raju Pambala highlight...
A Quantitative and Qualitative Analysis of the SymTax Citation Recommendation M...
This deep-dive analysis proves why SymTax works, showing its 'symbiotic' enricher and taxonomy fusion are essential for its state-...
A Comparative Performance Analysis of SymTax on Five Citation Recommendation Dat...
This paper presents empirical proof that the SymTax model significantly outperforms state-of-the-art AI on all major citation reco...
A Three-Stage Architecture for Precision Citation Recommendation
SymTax, a new AI for citation recommendation, uses a "symbiotic" model and taxonomy fusion to more accurately predict relevant sci...
The Creation of ArSyTa, a Novel 8.27-Million-Context Dataset for Local Citation...
This paper details ArSyTa, a new, massive dataset for citation AI. It has 8.27M rich contexts from arXiv papers to improve recomme...
How Symbiotic AI Can Find Your Paper's Next Great Citation
SymTax is a novel AI for citation recommendation. It mimics human behavior by using a "symbiotic" model and hyperbolic geometry to...
