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121 Publications
2015 | Book | LibreCat-ID: 3879
Wachsmuth, Henning. Text Analysis Pipelines - Towards Ad-Hoc Large-Scale Text Mining. 2015, doi:http://dx.doi.org/10.1007/978-3-319-25741-9.
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2015 | Dissertation | LibreCat-ID: 7568
Wachsmuth, Henning. Pipelines for Ad-Hoc Large-Scale Text Mining. 2015.
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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: 20142
Wachsmuth, Henning, et al. “A Review Corpus for Argumentation Analysis.” Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics, 2014, pp. 115–127.
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2014 | Conference Paper | LibreCat-ID: 3805
Brüseke, Frank, et al. “PBlaman: Performance Blame Analysis Based on Palladio Contracts.” Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment, no. 12, 2014, pp. 1975–2004.
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2014 | Conference Paper | LibreCat-ID: 3877
Wachsmuth, Henning, et al. “Modeling Review Argumentation for Robust Sentiment Analysis.” Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, 2014, pp. 553–64.
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