Wang Tianqi

• Doctoral student
• Communication Science Laboratory(Inui-Okazaki Lab), Graduate School of Information Sciences, Tohoku University

Education and Research

• 2008~2012 Harbin Institute of Technology at Weihai
  • Information Security
  • Research on security of IPSec protocal
• 2014~2016 AOKI lab, GSIS, Tohoku University
  • Image Processing
  • Research on multicolor removal for SFS
• 2017~ Inui-Okazaki Lab, GSIS, Tohoku University
  • Natural Language Processing
  • Research on Short Answer Scoring

Interests

• Comic book and animation
• Movie
• Science Fiction
• Video game

Publishs

• Wang Tianqi and Terumasa Aoki. Multicolor removal based on Color Lines for SFS, IEEE International Conference on Image Processing (IEEE ICIP2016)
• Tianqi Wang, Tomoya Mizumoto, Naoya Inoue, Kentaro Inui, Identifying Current Issues in Short Answer Grading, ANLP-2018, 2018
• 王天奇, 井之上直也, 水本智也, 大内啓樹, 乾健太郎, 採点基準を利用した記述式答案の自動採点, ANLP-2019, 2019
• Tianqi Wang, Naoya Inoue, Hiroki Ouchi, Tomoya Mizumoto and Kentaro Inui. Inject Rubrics Into Short Answer Grading System. Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019), pp. 175–182, November
• Tianqi Wang, Hiroaki Funayama, Hiroki Ouchi, Kentaro Inui, Incorporating Rubrics to Short Answer Grading, ANLP-2021, 2021
• Tianqi Wang, Hiroki Ouchi, Hiroaki Funayama, Kentaro Inui. Data Augmentation by Rubrics for Short Answer Grading. The Association for Natural Language Processing, Vol.28, No.1, March 2021