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Shallow Dialogue Processing Using Machine Learning Algorithms (or Not).

, , , , and . MLMI, volume 3361 of Lecture Notes in Computer Science, page 277-290. Springer, (2004)

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Annotating the meaning of discourse connectives by looking at their translation: The translation-spotting technique., , and . D&D, 4 (2): 65-86 (2013)Discourse-level Annotation over Europarl for Machine Translation: Connectives and Pronouns., , , , and . LREC, page 2716-2720. European Language Resources Association (ELRA), (2012)Exploring the Sensitivity to Alternative Signals of Coherence Relations: The Case of French Speaking Teenagers., , and . Dialogue Discourse, 14 (2): 49-82 (October 2023)Towards Automatic Identification of Discourse Markers in Dialogs: The Case of Like., and . SIGDIAL Workshop, page 63-71. The Association for Computer Linguistics, (2004)Shallow Dialogue Processing Using Machine Learning Algorithms (or Not)., , , , and . MLMI, volume 3361 of Lecture Notes in Computer Science, page 277-290. Springer, (2004)How Comparable are Parallel Corpora? Measuring the Distribution of General Vocabulary and Connectives., , , and . BUCC@ACL, page 78-86. Association for Computational Linguistics, (2011)Multilingual Annotation and Disambiguation of Discourse Connectives for Machine Translation., , , and . SIGDIAL Conference, page 194-203. The Association for Computer Linguistics, (2011)Automatic identification of discourse markers in dialogues: An in-depth study of like and well., and . Comput. Speech Lang., 25 (3): 499-518 (2011)MODERN: modelling discourse entities and relations for coherent machine translation., , , , , , , , , and 7 other author(s). EAMT (Projects/Products), Baltic Journal of Modern Computing, (2016)Contrasting the Automatic Identification of Two Discourse Markers in Multiparty Dialogues., and . SIGdial, page 10-17. Association for Computational Linguistics, (2007)