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Disambiguation of "De Clercq, Orphee"

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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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Ishaan Desai University of Stuttgart

preCICE Distribution Version v2404.0, , , , , , , , , and 14 other author(s). Software, (2024)

Jörg Desel

Das ist Informatik (Eds.) Springer, (2001)

Univ. -Prof. Dr. Gerd de Bruyn University of Stuttgart

Anda Degeratu University of Stuttgart

Daniel Del Gaudio University of Stuttgart

 

Other publications of authors with the same name

LT3 at SemEval-2018 Task 1: A classifier chain to detect emotions in tweets., , and . SemEval@NAACL-HLT, page 123-127. Association for Computational Linguistics, (2018)LT3: Applying Hybrid Terminology Extraction to Aspect-Based Sentiment Analysis., , , and . SemEval@NAACL-HLT, page 719-724. The Association for Computer Linguistics, (2015)Rude waiter but mouthwatering pastries! An exploratory study into Dutch Aspect-Based Sentiment Analysis., and . LREC, European Language Resources Association (ELRA), (2016)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)Multimodular Text Normalization of Dutch User-Generated Content, , , , , , and . ACM transactions on intelligent systems and technology, 7 (4): 61 (2016)Analysis and Reference Resolution of Bridge Anaphora across Different Text Genres., , and . DAARC, volume 7099 of Lecture Notes in Computer Science, page 1-11. Springer, (2011)Identifying Disputed Topics in the News., , , , and . LD4KD, volume 1232 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)LT3: Sentiment Classification in User-Generated Content Using a Rich Feature Set., , , , and . SemEval@COLING, page 406-410. The Association for Computer Linguistics, (2014)Collection of a corpus of Dutch SMS., , , and . LREC, page 2268-2273. European Language Resources Association (ELRA), (2012)Balancing SoNaR: IPR versus Processing Issues in a 500-Million-Word Written Dutch Reference Corpus., , , , and . LREC, European Language Resources Association, (2010)