Ryuichi Kiryo — accepted AI-conference papers

2021

I Wish I Would Have Loved This One, But I Didn’t – A Multilingual Dataset for Counterfactual Detection in Product Review

James O’Neill, Polina Rozenshtein, Ryuichi Kiryo, Motoko Kubota, Danushka Bollegala

EMNLP 2021main

Counterfactual statements describe events that did not or cannot take place. We consider the problem of counterfactual detection (CFD) in product reviews. For this purpose, we annotate a multilingual CFD dataset from Amazon product reviews covering counterfactual statements written in English, Germa…

Cited by 27 Source ↗PDF ↗code ↗Scholar ↗

2017

Positive-Unlabeled Learning with Non-Negative Risk Estimator

Ryuichi Kiryo, Gang Niu, Marthinus C du Plessis, Masashi Sugiyama

NeurIPS 2017oral

From only positive (P) and unlabeled (U) data, a binary classifier could be trained with PU learning, in which the state of the art is unbiased PU learning. However, if its model is very flexible, empirical risks on training data will go negative, and we will suffer from serious overfitting. In this…

Cited by 612 Source ↗PDF ↗code ↗Scholar ↗