Ph.D. student at Shimada Lab, Kyushu Institute of Technology.
s_hiai -at- pluto.ai.kyutech.ac.jp
Natural Language Processing, Information Extraction, Sentiment Analysis, Sarcasm Detection
Sarcasm Detection Using RNN with Relation Vector
- Satoshi Hiai and Kazutaka Shimada
- International Journal of Data Warehousing and Mining (IJDWM 2019), Vol 15, Issue 4, Article 4, pages 66-78, 2019.
[paper]
Sarcasm Detection Using Role Pairs: Bootstrapping Role Pairs and Weighting
- Satoshi Hiai and Kazutaka Shimada
- Proceedings of the 2020 International Conference on Asian Language Processing (IALP), pages 235-240, 2020.
[paper]
Automatic Training Data Construction and Extractive Supervised Summarization for NTCIR-14 QA Lab-PoliInfo
- Satoshi Hiai, Yuka Otani, Takashi Yamamura and Kazutaka Shimada
- NII Testbeds and Community for Information Access Research. NTCIR 2019. Lecture Notes in Computer Science, vol 11966, pages 97-109, Springer.
[paper]
KitAi-PI: Summarization System for NTCIR-14 QA Lab-PoliInfo
- Satoshi Hiai, Yuka Otani, Takashi Yamamura and Kazutaka Shimada
- Proceedings of the 14th NTCIR Conference on Evaluation of Information Access Technologies, pages 159-166, 2019.
[paper]
Sarcasm detection Using Features Based on Indicator and Roles
- Satoshi Hiai and Kazutaka Shimada
- Recent Advances on Soft Computing and Data Mining. SCDM 2018. Advances in Intelligent Systems and Computing, vol 700, pages 418-428, Springer.
[paper]
Sarcasm Extraction Method Based on Patterns of Evaluation Expressions
- Satoshi Hiai and Kazutaka Shimada
- Proceedings of the 5th International Conference on E-Service and Knowledge Management (ESKM 2016), pages 31-36, 2016.
[paper]