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28 Publications
2018 | Journal Article | LibreCat-ID: 14886
Chen, Wei-Fan, and Lun-Wei Ku. “We Like, We Post: A Joint User-Post Approach for Facebook Post Stance Labeling.” IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 10, IEEE, 2018, pp. 2013–23.
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2018 | Journal Article | LibreCat-ID: 14887
Chen, Mei-Hua, et al. “Application of Sentiment Analysis to Language Learning.” IEEE Access, vol. 6, IEEE, 2018, pp. 24433–42.
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2018 | Journal Article | LibreCat-ID: 14888
Chen Wei-Fan, and Ku Lun-Wei. “中文情感語意分析套件 CSentiPackage 發展與應用.” 圖書館學與資訊科學, 國立台灣師範大學圖書資訊學研究所, 2018.
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2018 | Conference Paper | LibreCat-ID: 11710
Chen, Wei-Fan, et al. “Learning to Flip the Bias of News Headlines.” Proceedings of the 11th International Conference on Natural Language Generation, Association for Computational Linguistics, 2018, pp. 79–88.
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2018 | Conference Paper | LibreCat-ID: 14873
Chen, Wei-Fan, et al. “A User Study on Snippet Generation: Text Reuse vs. Paraphrases.” Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018, pp. 1033–36.
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2018 | Conference Paper | LibreCat-ID: 14885
Potthast, Martin, et al. “A Plan for Ancillary Copyright: Original Snippets.” Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval, 2018, pp. 3–5.
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2017 | Conference Paper | LibreCat-ID: 3751
Ajjour, Yamen, et al. “Unit Segmentation of Argumentative Texts.” Proceedings of the 4th Workshop on Argument Mining, 2017, pp. 118–28.
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2017 | Conference Paper | LibreCat-ID: 14884
Chen, Wei-Fan, et al. “How to Get Endorsements? Predicting Facebook Likes Using Post Content and User Engagement.” International Conference on HCI in Business, Government, and Organizations, 2017, pp. 190–202.
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2016 | Conference Paper | LibreCat-ID: 14881
Chen, Wei-Fan, and Lun-Wei Ku. “UTCNN: A Deep Learning Model of Stance Classification on Social Media Text.” Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics, 2016, pp. 1635–45.
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2016 | Conference Paper | LibreCat-ID: 14882
Chen, Wei-Fan, et al. “WordForce: Visualizing Controversial Words in Debates.” Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, 2016, pp. 273–77.
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2016 | Conference Abstract | LibreCat-ID: 14883
Ku, Lun-Wei, and Wei-Fan Chen. “Chinese Textual Sentiment Analysis: Datasets, Resources and Tools.” Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts, 2016, pp. 5–8.
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2015 | Conference Paper | LibreCat-ID: 14875
Chen, Wei-Fan, et al. “Embarrassed or Awkward? Ranking Emotion Synonyms for ESL Learners’ Appropriate Wording.” Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications, 2015, pp. 144–53.
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2015 | Conference Paper | LibreCat-ID: 14877
Chen, Wei-Fan, et al. “Mining Supportive and Unsupportive Evidence from Facebook Using Anti-Reconstruction of the Nuclear Power Plant as an Example.” 2015 AAAI Spring Symposium Series, 2015.
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2015 | Conference Paper | LibreCat-ID: 14878
Chen, Wei-Fan, et al. “Topic-Based Stance Mining for Social Media Texts.” International Conference on HCI in Business, 2015, pp. 22–33.
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2015 | Journal Article | LibreCat-ID: 14879
Chen, Wei-Fan, et al. “A Computer-Assistance Learning System for Emotional Wording.” IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 5, IEEE, 2015, pp. 1093–104.
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2015 | Conference Paper | LibreCat-ID: 14876
Chen, Mei-Hua, et al. “Technology Enhanced Emotion Expression Learning.” Proceedings of the Sixth Joint Foreign Language Education and Technology Conference (FLEAT VI), 2015.
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2014 | Conference Paper | LibreCat-ID: 14874
Chen, Mei-Hua, et al. “RESOLVE: An Emotion Word Suggestion System Facilitates Language Learners’ Emotional Expressions.” Proceedings of the AsiaCALL 2014, 2014.
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2012 | Conference Paper | LibreCat-ID: 14871
Chen, Wei-Fan, et al. “A Syllable-Based Prosody Modeling for L1 and L2 English Speeches.” Proceedings of the 8th International Symposium on Chinese Spoken Language Processing, IEEE, 2012, pp. 281–85.
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