3 papers
cs.CL2024
Coarse-Grained Sense Inventories Based on Semantic Matching between English Dictionaries
Masato Kikuchi, Masatsugu Ono, Toshioki Soga +2
WordNet is one of the largest handcrafted concept dictionaries visualizing word connections through semantic relationships. It is widely used as a word sense inventory in natural l…
stat.ML2022
Conservative Likelihood Ratio Estimator for Infrequent Data Slightly above a Frequency Threshold
Masato Kikuchi, Yuhi Kusakabe, Tadachika Ozono
A naive likelihood ratio (LR) estimation using the observed frequencies of events can overestimate LRs for infrequent data. One approach to avoid this problem is to use a frequency…
cs.LG2022
Improving Multi-class Classifier Using Likelihood Ratio Estimation with Regularization
Masato Kikuchi, Tadachika Ozono
The universal-set naive Bayes classifier (UNB)~\cite{Komiya:13}, defined using likelihood ratios (LRs), was proposed to address imbalanced classification problems. However, the LR…