Scholar
Kosuke Yamada
Google Scholar ID: x6rA_7wAAAAJ
Cyberagent Inc.
Natural Language Processing
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Citations & Impact
All-time
Citations
129
H-index
7
i10-index
5
Publications
20
Co-authors
7
list available
Contact
Email
yamada_kosuke@cyberagent.co.jp
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Publications
4 items
Training-free Conditional Image Embedding Framework Leveraging Large Vision Language Models
2025
Cited
0
Do LLMs and Humans Find the Same Questions Difficult? A Case Study on Japanese Quiz Answering
2025
Cited
0
FrameEOL: Semantic Frame Induction using Causal Language Models
2025
Cited
0
Out-of-the-Box Conditional Text Embeddings from Large Language Models
2025
Cited
0
Resume (English only)
Academic Achievements
Books:
- Introduction to Large-Scale Language Models II: Implementation and Evaluation of Generative LLMs
- Introduction to Large-Scale Language Models
Journal Papers:
- Automatic Acquisition of Frame Element Knowledge in Semantic Frame Construction Using Deep Metric Learning
- Estimating Verb Semantic Frames Using Deep Metric Learning
- Estimating Verb Semantic Frames Using Masked Word Embeddings and Two-Step Clustering
International Conference Papers:
- Transformer-based Live Update Generation for Soccer Matches from Tweets
- Building a Buzzer-quiz Answering System
- Acquiring Frame Element Knowledge with Deep Metric Learning for Semantic Frame Induction
- Semantic Frame Induction with Deep Metric Learning
- Transformer-based Lexically Constrained Headline Generation
- Verb Sense Clustering using Contextualized Word Representations for Semantic Frame Induction
- Semantic Frame Induction using Masked Word Embeddings and Two-Step Clustering
- Verifying the Usefulness of Contextualized Word Embeddings for Automatic Acquisition of Frame Knowledge
- Sequential Span Classification with Neural Semi-Markov CRFs for Biomedical Abstracts
- Incorporating Textual Information on User Behavior for Personality Prediction
Domestic Conference Papers:
- Generating Sports Updates from Twitter using T5 Language Model
- Acquiring Frame Element Knowledge in Semantic Frame Construction Using Deep Metric Learning
- Building a Buzzer-quiz Answering System and Estimating Accuracy at Each Time Point
- Estimating Japanese Verb Semantic Frames Using Deep Metric Learning
- Structural Analysis of Biomedical Abstracts Using Neural Semi-Markov CRFs
- Personality Prediction Using Similar Behavioral Patterns in SNS
Research Experience
2023/9~2023/11 Visiting Research Student, Natural Language Processing Research Group, Department of Computer Science, University of Liverpool, UK
Education
2021/4~2024/3 Doctor of Informatics, Graduate School of Information Science, Nagoya University, Advisors: Ryohei Sasano, Koichi Takeda
2019/4~2021/3 Master of Informatics, Graduate School of Information Science, Nagoya University, Advisors: Ryohei Sasano, Koichi Takeda
2015/4~2019/3 Bachelor of Engineering, Department of Electrical, Electronic and Information Engineering, Nagoya University
Background
Research Interests: Natural Language Processing (Frame Semantics, Text Embedding)
Field: Artificial Intelligence
Introduction: Research Scientist at CyberAgent AI Lab; Collaborative Researcher at the Graduate School of Information Science, Nagoya University
Miscellany
Other Activities:
- 19th YANS Symposium: Unsupervised Conditional Text Embedding Acquisition
- AI Robot Driven Science Symposium 2023
Co-authors
7 total
Ryohei Sasano
Associate Professor at Nagoya University
Koichi Takeda
National Institute of Informatics
Tsutomu Hirao
Kanazawa university
Masaaki Nagata
NTT Corporation
Co-author 5
Kentaro Inui
MBZUAI, Tohoku University, RIKEN
Co-author 7
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