Classification of text readability based on deep neural network and representation learning techniques

Hou Chiang Tseng, Hsiao Tsung Hung, Yao Ting Sung, Berlin Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
Original languageEnglish
Title of host publicationProceedings of the 28th Conference on Computational Linguistics and Speech Processing, ROCLING 2016
EditorsChung-Hsien Wu, Yuen-Hsien Tseng, Hung-Yu Kao, Lun-Wei Ku, Yu Tsao, Shih-Hung Wu
PublisherThe Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Pages255-270
Number of pages16
ISBN (Electronic)9789573079293
Publication statusPublished - 2016 Oct 1
Event28th Conference on Computational Linguistics and Speech Processing, ROCLING 2016 - Tainan, Taiwan
Duration: 2016 Oct 62016 Oct 7

Publication series

NameProceedings of the 28th Conference on Computational Linguistics and Speech Processing, ROCLING 2016

Conference

Conference28th Conference on Computational Linguistics and Speech Processing, ROCLING 2016
CountryTaiwan
CityTainan
Period16/10/616/10/7

ASJC Scopus subject areas

  • Speech and Hearing
  • Language and Linguistics

Cite this

Tseng, H. C., Hung, H. T., Sung, Y. T., & Chen, B. (2016). Classification of text readability based on deep neural network and representation learning techniques. In C-H. Wu, Y-H. Tseng, H-Y. Kao, L-W. Ku, Y. Tsao, & S-H. Wu (Eds.), Proceedings of the 28th Conference on Computational Linguistics and Speech Processing, ROCLING 2016 (pp. 255-270). (Proceedings of the 28th Conference on Computational Linguistics and Speech Processing, ROCLING 2016). The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).