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Exploring Digital Conversation Corpora with Process Mining

Abstract : Understanding how sentences constitute conversations is still a matter of disagreement. The automatic analysis of corpora can bring new perspectives on this issue. We show that process mining, a computer science approach for analysing human behaviour, enables the inductive identification of within-turn regularities in digital conversations. We use speech acts as a way to discretise conversations and enable the analysis. To this end, we develop a fine-grained, corpus-independent classification of speech acts that we describe and validate. We perform a manual sentence-by-sentence multi-label contextual annotation of a corpus of digital conversations and we explore it with process mining. Our results suggest that speech act theory could be extended to include typicality conditions for sequences of utterances.
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https://hal.univ-lorraine.fr/hal-01722928
Contributor : Laëtitia Le Couédic <>
Submitted on : Monday, March 5, 2018 - 11:11:22 AM
Last modification on : Sunday, January 19, 2020 - 6:38:32 PM

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Dario Compagno, Elena Epure, Rebecca Deneckere, Camille Salinesi. Exploring Digital Conversation Corpora with Process Mining. Corpus Pragmatics, Spinger, 2018, 2, pp.1-23. ⟨10.1007/s41701-018-0030-6⟩. ⟨hal-01722928⟩

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