3 papers
cs.CL2021
Exploring the Capacity of a Large-scale Masked Language Model to Recognize Grammatical Errors
Ryo Nagata, Manabu Kimura, Kazuaki Hanawa
In this paper, we explore the capacity of a language model-based method for grammatical error detection in detail. We first show that 5 to 10% of training data are enough for a BER…
cs.LG2020
Evaluation of Similarity-based Explanations
Kazuaki Hanawa, Sho Yokoi, Satoshi Hara +1
Explaining the predictions made by complex machine learning models helps users to understand and accept the predicted outputs with confidence. One promising way is to use similarit…
cs.CL2018
Suspicious News Detection Using Micro Blog Text
Tsubasa Tagami, Hiroki Ouchi, Hiroki Asano +9
We present a new task, suspicious news detection using micro blog text. This task aims to support human experts to detect suspicious news articles to be verified, which is costly b…