activity
20172021
most citedConfidence Interval of Probability Estimator of Laplace Smoothing

21 citations · 30 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2021★ 1 cited

Feature Selective Likelihood Ratio Estimator for Low- and Zero-frequency N-grams

Masato Kikuchi, Mitsuo Yoshida, Kyoji Umemura +1

In natural language processing (NLP), the likelihood ratios (LRs) of N-grams are often estimated from the frequency information. However, a corpus contains only a fraction of the p…

cs.HC2021★ 2 cited

Developing a Lecture Video Recording System Using Augmented Reality

Yuma Ito, Masato Kikuchi, Tadachika Ozono +1

Assistive technology is a prerequisite for making a high-quality lecture video. It is therefore imperative to edit the lecture video after recording. In this study, we aim to reduc…

cs.CL2021★ 1 cited

Development of an Extractive Title Generation System Using Titles of Papers of Top Conferences for Intermediate English Students

Kento Kaku, Masato Kikuchi, Tadachika Ozono +1

The formulation of good academic paper titles in English is challenging for intermediate English authors (particularly students). This is because such authors are not aware of the…

cs.CL2021★ 2 cited

Unified Likelihood Ratio Estimation for High- to Zero-frequency N-grams

Masato Kikuchi, Kento Kawakami, Kazuho Watanabe +2

Likelihood ratios (LRs), which are commonly used for probabilistic data processing, are often estimated based on the frequency counts of individual elements obtained from samples.…

cs.CL2019

Journal Name Extraction from Japanese Scientific News Articles

Masato Kikuchi, Mitsuo Yoshida, Kyoji Umemura

In Japanese scientific news articles, although the research results are described clearly, the article's sources tend to be uncited. This makes it difficult for readers to know the…

stat.AP2017

Finding Association Rules by Direct Estimation of Likelihood Ratios

Kento Kawakami, Masato Kikuchi, Mitsuo Yoshida +2

In this paper, we propose a cost function that corresponds to the mean square errors between estimated values and true values of conditional probability in a discrete distribution.…