no code implementations • WS 2017 • Jui-Feng Yeh, Li-Ting Chang, Chan-Yi Liu, Tsung-Wei Hsu
This paper presents a Chinese spelling check approach based on language models combined with string match algorithm to treat the problems resulted from the influence caused by Cantonese mother tone.
no code implementations • IJCNLP 2017 • Jui-Feng Yeh, Jian-Cheng Tsai, Bo-Wei Wu, Tai-You Kuang
This paper presents two vector representations proposed by National Chiayi University (NCYU) about phrased-based sentiment detection which was used to compete in dimensional sentiment analysis for Chinese phrases (DSACP) at IJCNLP 2017.
no code implementations • WS 2016 • Jui-Feng Yeh, Tsung-Wei Hsu, Chan-Kun Yeh
In the test data found that our method in the detection level of recall better than the others, even as high as 0. 9755.