2 citations · 2 across the 10 of their papers we have counts for
11 papers
Customer Analysis and Text Generation for Small Retail Stores Using LLM-Generated Marketing Presence
Shiori Nakamura, Masato Kikuchi, Tadachika Ozono
Point of purchase (POP) materials can be created to assist non-experts by combining large language models (LLMs) with human insight. Persuasive POP texts require both customer unde…
On-Demand Instructional Material Providing Agent Based on MLLM for Tutoring Support
Takumi Kato, Masato Kikuchi, Tadachika Ozono
Effective instruction in tutoring requires promptly providing instructional materials that match the needs of each student (e.g., in response to questions). In this study, we intro…
Script-to-Slide Grounding: Grounding Script Sentences to Slide Objects for Automatic Instructional Video Generation
Rena Suzuki, Masato Kikuchi, Tadachika Ozono
While slide-based videos augmented with visual effects are widely utilized in education and research presentations, the video editing process -- particularly applying visual effect…
CEFR-Annotated WordNet: LLM-Based Proficiency-Guided Semantic Database for Language Learning
Masato Kikuchi, Masatsugu Ono, Toshioki Soga +2
Although WordNet is a valuable resource because of its structured semantic networks and extensive vocabulary, its fine-grained sense distinctions can be challenging for second-lang…
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…
Lyricist-Singer Entropy Affects Lyric-Lyricist Classification Performance
Mitsuki Morita, Masato Kikuchi, Tadachika Ozono
Although lyrics represent an essential component of music, few music information processing studies have been conducted on the characteristics of lyricists. Because these character…
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…
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…
Developing a Component Comment Extractor from Product Reviews on E-Commerce Sites
Shogo Anda, Masato Kikuchi, Tadachika Ozono
Consumers often read product reviews to inform their buying decision, as some consumers want to know a specific component of a product. However, because typical sentences on produc…
Online Classroom Evaluation System Based on Multi-Reaction Estimation
Yanyi Peng, Masato Kikuchi, Tadachika Ozono
Compared with traditional face-to-face teaching, online learning is more convenient. However, during online classes, it is more difficult for teachers to observe all student reacti…
Product Information Browsing Support System Using Analytic Hierarchy Process
Weijian Li, Masato Kikuchi, Tadachika Ozono
Large-scale e-commerce sites can collect and analyze a large number of user preferences and behaviors, and thus can recommend highly trusted products to users. However, it is very…