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Language in social media is characterised by more formal (written) or more informal (spoken-like) style in different contexts, and thus shows high variability. We focus on one linguistic domain in Pragmatics, the management of common ground between writers and readers, and identify the consistent patterns of discourse strategies employed by writers across different groups and channels. We will develop computational models for the observed variability across individuals, groups, and social media channels supplementing a consistent core. The models test and if appropriate extend theories like Centering and Segmented Discourse Representation Theory.
|Aktaş, B., Scheffler, T., & Stede, M.||Anaphora Resolution for Twitter Conversations: An Exploratory Study.||M. Poesio, V. Ng, & M. Ogrodniczuk (Eds.), Proceedings of the First Workshop on Computational Models of Reference, Anaphora, and Coreference (pp. 1-10). New Orleans: Association for Computational Linguistics. doi:10.18653/v1/W18-0701||2018||[Download]|
|Clausen, Y., Scheffler, T., & Stede, M.||Variability of German Question Tags.||Paper presented at the Discourse-Pragmatic Variation and Change (DiPVaC4), University of Helsinki, Helsinki, Finnland. 28 - 30 May.||2018||[Abstract], [Presentation]|
|Das, D., Scheffler, T., Bourgonje, P., & Stede, M.||Constructing a Lexicon of English Discourse Connectives.||Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, pp. 360-365.||2018||[Download]|