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Multimodular Text Normalization of Dutch User-Generated Content

, , , , , , and . ACM transactions on intelligent systems and technology, 7 (4): 61 (2016)
DOI: 10.1145/2850422

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Parameter optimization for machine-learning of word sense disambiguation., , , and . Natural Language Engineering, 8 (4): 311-325 (2002)The good, the bad and the implicit: a comprehensive approach to annotating explicit and implicit sentiment., , and . Language Resources and Evaluation, 49 (3): 685-720 (2015)Preface., , and . CLIN, volume 111 of Antwerp papers in linguistics, University of Antwerp, (2003)AUG: A combined classification and clustering approach for web people disambiguation., , and . SemEval@ACL, page 105-108. The Association for Computer Linguistics, (2007)SemEval 2014 Task 5 - L2 Writing Assistant., , , , and . SemEval@COLING, page 36-44. The Association for Computer Linguistics, (2014)Classifier Optimization and Combination in the English All Words Task., , and . SENSEVAL@ACL, page 83-86. Association for Computational Linguistics, (2001)Benefits of Data Augmentation for NMT-based Text Normalization of User-Generated Content., , and . W-NUT@EMNLP, page 275-285. Association for Computational Linguistics, (2019)Smart Computer Aided Translation Environment - SCATE., , , , , , , , , and 3 other author(s). EAMT, European Association for Machine Translation, (2015)An Evaluation and Possible Improvement Path for Current SMT Behavior on Ambiguous Nouns., and . SSST@ACL, page 52-60. Association for Computational Linguistics, (2011)Evaluating Hybrid Versus Data-Driven Coreference Resolution., , and . DAARC, volume 4410 of Lecture Notes in Computer Science, page 137-150. Springer, (2007)