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2018
- handle: 10670/1.v8f3xe
- hal: hal-01722928
- doi: 10.1007/s41701-018-0030-6
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info:eu-repo/semantics/altIdentifier/doi/10.1007/s41701-018-0030-6
info:eu-repo/semantics/OpenAccess
Mots-clés
Corpus pragmatics Speech acts Conversation analysis Process mining Multi-label annotation Online conversationsSujets proches
Talking Service of process Service of papers Abuse of process Process Engineering, Mining Mines and mining Mining Deposits, Mineral Mineral deposits Mines and mining Mineral resources Mining Mining industry and finance Metal industries Extractive industries Extractive industry Mines and mining Mining industry MiningCiter ce document
Dario Compagno et al., « Exploring digital conversation corpora with process mining », HAL-SHS : sciences de l'information, de la communication et des bibliothèques, ID : 10.1007/s41701-018-0030-6
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Résumé
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.