Chinese Textual Sentiment Analysis: Datasets, Resources and Tools
L.-W. Ku, W.-F. Chen, in: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts, 2016, pp. 5–8.

Embarrassed or Awkward? Ranking Emotion Synonyms for ESL Learners’ Appropriate Wording
W.-F. Chen, M. Chen, L.-W. Ku, in: Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications, 2015, pp. 144–153.

Mining Supportive and Unsupportive Evidence from Facebook Using Anti-reconstruction of the Nuclear Power Plant as an Example
W.-F. Chen, L.-W. Ku, Y.-H. Lee, in: 2015 AAAI Spring Symposium Series, 2015.

Topic-based Stance Mining for Social Media Texts
W.-F. Chen, Y.-H. Lee, L.-W. Ku, in: International Conference on HCI in Business, 2015, pp. 22–33.

A Computer-assistance Learning System for Emotional Wording
W.-F. Chen, M.-H. Chen, M.-L. Chen, L.-W. Ku, IEEE Transactions on Knowledge and Data Engineering 28 (2015) 1093–1104.

Technology Enhanced Emotion Expression Learning
M.-H. Chen, W.-F. Chen, L.-W. Ku, in: Proceedings of the Sixth Joint Foreign Language Education and Technology Conference (FLEAT VI), 2015.

RESOLVE: An Emotion Word Suggestion System Facilitates Language Learners’ Emotional Expressions
M.-H. Chen, W.-F. Chen, L.-W.  Ku, in: Proceedings of the AsiaCALL 2014, 2014.

A Syllable-based Prosody Modeling for L1 and L2 English Speeches
W.-F. Chen, C.-K. Kuo, Y.-R.  Wang, S.-H.  Chen, in: Proceedings of the 8th International Symposium on Chinese Spoken Language Processing, IEEE, 2012, pp. 281–285.