Wachsmuth, H. (2015). Text Analysis Pipelines - Towards Ad-hoc Large-scale Text Mining.http://dx.doi.org/10.1007/978-3-319-25741-9 

Wachsmuth, H. (2015). Pipelines for Ad-hoc Large-scale Text Mining.

Chen, W.-F., Chen, M., &; Ku, L.-W. (2015). 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 (pp. 144–153).

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

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

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

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

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

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

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

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

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

Wachsmuth, H., Stein, B., &; Engels, G. (2013). Learning Efficient Information Extraction on Heterogeneous Texts. In A. Gelbukh (Ed.), Proceedings of the Sixth International Joint Conference on Natural Language Processing (pp. 534–542).

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

Wachsmuth, H., Rose, M., &; Engels, G. (2013). Automatic Pipeline Construction for Real-Time Annotation. In A. Gelbukh (Ed.), 14th International Conference on Intelligent Text Processing and Computational Linguistics (pp. 38–49).

Wachsmuth, H., &; Stein, B. (2012). Optimal Scheduling of Information Extraction Algorithms. In Proceedings of COLING 2012: Posters (pp. 1281–1290).

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

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

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

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