4 citations · 5 across the 9 of their papers we have counts for
3 papers · 1 filter
Understanding Higher-Order Correlations Among Semantic Components in Embeddings
Momose Oyama, Hiroaki Yamagiwa, Hidetoshi Shimodaira
Independent Component Analysis (ICA) offers interpretable semantic components of embeddings. While ICA theory assumes that embeddings can be linearly decomposed into independent co…
Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings
Hiroaki Yamagiwa, Momose Oyama, Hidetoshi Shimodaira
Cosine similarity is widely used to measure the similarity between two embeddings, while interpretations based on angle and correlation coefficient are common. In this study, we fo…
Predicting drug-gene relations via analogy tasks with word embeddings
Hiroaki Yamagiwa, Ryoma Hashimoto, Kiwamu Arakane +6
Natural language processing (NLP) is utilized in a wide range of fields, where words in text are typically transformed into feature vectors called embeddings. BioConceptVec is a sp…