Wachsmuth H. Text Analysis Pipelines - Towards Ad-Hoc Large-Scale Text Mining.; 2015. doi:http://dx.doi.org/10.1007/978-3-319-25741-9

Wachsmuth H. Pipelines for Ad-Hoc Large-Scale Text Mining.; 2015.

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

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

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

Chen W-F, Chen M-H, Chen M-L, Ku L-W. A Computer-assistance Learning System for Emotional Wording. IEEE Transactions on Knowledge and Data Engineering. 2015;28(5):1093-1104.

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

Wachsmuth H, Trenkmann M, Stein B, Engels G, Palakarska T. A Review Corpus for Argumentation Analysis. In: Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics. ; 2014:115–127.

Brüseke F, Wachsmuth H, Engels G, Becker S. PBlaman: performance blame analysis based on Palladio contracts. In: Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment. ; 2014:1975-2004.

Wachsmuth H, Trenkmann M, Stein B, Engels G. Modeling Review Argumentation for Robust Sentiment Analysis. In: Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers. ; 2014:553-564.

Abu Quba Rana C, Hassas S, Usama F, Alshomary M, Gertosio C. iSoNTRE: The Social Network Transformer into Recommendation Engine. 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA). 2014:169-175.

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

Wachsmuth H, Stein B, Engels G. Learning Efficient Information Extraction on Heterogeneous Texts. In: Gelbukh A, ed. Proceedings of the Sixth International Joint Conference on Natural Language Processing. Lecture Notes in Computer Science. ; 2013:534-542.

Wachsmuth H, Stein B, Engels G. Information Extraction as a Filtering Task. In: Proceedings of the 22nd ACM International Conference on Conference on Information &; Knowledge Management. ; 2013:2049-2058.

Wachsmuth H, Rose M, Engels G. Automatic Pipeline Construction for Real-Time Annotation. In: Gelbukh A, ed. 14th International Conference on Intelligent Text Processing and Computational Linguistics. Lecture Notes in Computer Science. ; 2013:38-49.

Wachsmuth H, Stein B. Optimal Scheduling of Information Extraction Algorithms. In: Proceedings of COLING 2012: Posters. ; 2012:1281-1290.

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

Wachsmuth H, Bujna K. Back to the Roots of Genres: Text Classification by Language Function. In: Berendt B, de Vries A, Fan W, Macdonald C, Ounis I, Ruthven I, eds. Proceedings of 5th International Joint Conference on Natural Language Processing. ; 2011:632-640.

Wachsmuth H, Stein B, Engels G. Constructing Efficient Information Extraction Pipelines. In: Berendt B, de Vries A, Fan W, Macdonald C, Ounis I, Ruthven I, eds. 20th ACM International Conference on Information and Knowledge Management. ; 2011:2237-2240.

Wachsmuth H, Prettenhofer P, Stein B. Efficient Statement Identification for Automatic Market Forecasting. In: Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010). ; 2010:1128-1136.