@inproceedings{085d3e5188f648689c7b75efe6c7bcae,
title = "Solving Chinese Character Puzzles Based on Character Strokes",
abstract = "Chinese character puzzles are popular games in China. To solve a character puzzle, people need to fully consider the meaning and the strokes of each character in puzzles. Therefore, Chinese character puzzles are complicated and it can be a challenging task in natural language processing. In this paper, we collect a Chinese character puzzles dataset (CCPD) and design a Stroke Sensitive Character Guessing (SSCG) Model. SSCG can consider the meaning and strokes of each character. In this way, SSCG can solve Chinese character puzzles more accurately. To the best of our knowledge, it is the first work which tries to handle the Chinese character puzzles. We evaluate SSCG on CCPD. The experiment results show the effectiveness of the SSCG.",
keywords = "Character puzzles, Character strokes, Chinese",
author = "Da Ren and Yi Cai and Weizhao Li and Ruihang Xia and Zilu Li and Qing Li",
year = "2019",
doi = "10.1007/978-3-030-32233-5\_24",
language = "English",
isbn = "9783030322328",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "303--313",
editor = "Jie Tang and Min-Yen Kan and Dongyan Zhao and Sujian Li and Hongying Zan",
booktitle = "Natural Language Processing and Chinese Computing - 8th CCF International Conference, NLPCC 2019, Proceedings",
note = "8th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2019 ; Conference date: 09-10-2019 Through 14-10-2019",
}