Yasuhiro Sogawa

According to our database, Yasuhiro Sogawa authored at least 22 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

CHICOT: A Developer-Assistance Toolkit for Code Search with High-Level Contextual Information.

Terufumi Morishita, Yuta Koreeda, Atsuki Yamaguchi, Gaku Morio, Osamu Imaichi, Yasuhiro Sogawa

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Text Retrieval with Multi-Stage Re-Ranking Models.

Yuichi Sasazawa, Ken-ichi Yokote, Osamu Imaichi, Yasuhiro Sogawa

CoRR, 2023

Team Hitachi at SemEval-2023 Task 3: Exploring Cross-lingual Multi-task Strategies for Genre and Framing Detection in Online News.

Yuta Koreeda, Ken-ichi Yokote, Hiroaki Ozaki, Atsuki Yamaguchi, Masaya Tsunokake, Yasuhiro Sogawa

CoRR, 2023

Hitachi at SemEval-2023 Task 4: Exploring Various Task Formulations Reveals the Importance of Description Texts on Human Values.

Masaya Tsunokake, Atsuki Yamaguchi, Yuta Koreeda, Hiroaki Ozaki, Yasuhiro Sogawa

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Hitachi at SemEval-2023 Task 3: Exploring Cross-lingual Multi-task Strategies for Genre and Framing Detection in Online News.

Yuta Koreeda, Ken-ichi Yokote, Hiroaki Ozaki, Atsuki Yamaguchi, Masaya Tsunokake, Yasuhiro Sogawa

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Controlling keywords and their positions in text generation.

Yuichi Sasazawa, Terufumi Morishita, Hiroaki Ozaki, Osamu Imaichi, Yasuhiro Sogawa

Proceedings of the 16th International Natural Language Generation Conference, 2023

Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic.

Terufumi Morishita, Gaku Morio, Atsuki Yamaguchi, Yasuhiro Sogawa

Proceedings of the International Conference on Machine Learning, 2023

LARCH: Large Language Model-based Automatic Readme Creation with Heuristics.

Yuta Koreeda, Terufumi Morishita, Osamu Imaichi, Yasuhiro Sogawa

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

How does the task complexity of masked pretraining objectives affect downstream performance?

Atsuki Yamaguchi, Hiroaki Ozaki, Terufumi Morishita, Gaku Morio, Yasuhiro Sogawa

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

How do different tokenizers perform on downstream tasks in scriptio continua languages?: A case study in Japanese.

Takuro Fujii, Koki Shibata, Atsuki Yamaguchi, Terufumi Morishita, Yasuhiro Sogawa

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2023

2022

Unsupervised Domain Adaptation on Question-Answering System with Conversation Data.

Amalia Istiqlali Adiba, Takeshi Homma, Yasuhiro Sogawa

Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

Hitachi at SemEval-2022 Task 2: On the Effectiveness of Span-based Classification Approaches for Multilingual Idiomaticity Detection.

Atsuki Yamaguchi, Gaku Morio, Hiroaki Ozaki, Yasuhiro Sogawa

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Hitachi at SemEval-2022 Task 10: Comparing Graph- and Seq2Seq-based Models Highlights Difficulty in Structured Sentiment Analysis.

Gaku Morio, Hiroaki Ozaki, Atsuki Yamaguchi, Yasuhiro Sogawa

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Reducing Offensive Replies in Open Domain Dialogue Systems.

Naokazu Uchida, Takeshi Homma, Makoto Iwayama, Yasuhiro Sogawa

Proceedings of the Interspeech 2022, 2022

2019

An Interactive Greedy Approach to Group Sparsity in High Dimensions.

Wei Qian, Wending Li, Yasuhiro Sogawa, Ryohei Fujimaki, Xitong Yang, Ji Liu

Technometrics, 2019

2013

Active learning for noisy oracle via density power divergence.

Yasuhiro Sogawa, Tsuyoshi Ueno, Yoshinobu Kawahara, Takashi Washio

Neural Networks, 2013

2012

Robust Active Learning for Linear Regression via Density Power Divergence.

Yasuhiro Sogawa, Tsuyoshi Ueno, Yoshinobu Kawahara, Takashi Washio

Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011

Estimating exogenous variables in data with more variables than observations.

Yasuhiro Sogawa, Shohei Shimizu, Teppei Shimamura, Aapo Hyvärinen, Takashi Washio, Seiya Imoto

Neural Networks, 2011

DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model.

Shohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa, Aapo Hyvärinen, Yoshinobu Kawahara, Takashi Washio, Patrik O. Hoyer, Kenneth Bollen

J. Mach. Learn. Res., 2011

Online heterogeneous mixture modeling with marginal and copula selection.

Ryohei Fujimaki, Yasuhiro Sogawa, Satoshi Morinaga

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010

An experimental comparison of linear non-Gaussian causal discovery methods and their variants.

Yasuhiro Sogawa, Shohei Shimizu, Yoshinobu Kawahara, Takashi Washio

Proceedings of the International Joint Conference on Neural Networks, 2010

Discovery of Exogenous Variables in Data with More Variables Than Observations.

Yasuhiro Sogawa, Shohei Shimizu, Aapo Hyvärinen, Takashi Washio, Teppei Shimamura, Seiya Imoto

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010