18 citations · 23 across the 3 of their papers we have counts for
3 papers
Improving information retrieval through correspondence analysis instead of latent semantic analysis
Qianqian Qi, David J. Hessen, Peter G. M. van der Heijden
Both latent semantic analysis (LSA) and correspondence analysis (CA) are dimensionality reduction techniques that use singular value decomposition (SVD) for information retrieval.…
Prompt-based Conservation Learning for Multi-hop Question Answering
Zhenyun Deng, Yonghua Zhu, Yang Chen +3
Multi-hop question answering (QA) requires reasoning over multiple documents to answer a complex question and provide interpretable supporting evidence. However, providing supporti…
A comparison of latent semantic analysis and correspondence analysis of document-term matrices
Qianqian Qi, David J. Hessen, Tejaswini Deoskar +1
Latent semantic analysis (LSA) and correspondence analysis (CA) are two techniques that use a singular value decomposition (SVD) for dimensionality reduction. LSA has been extensiv…