Exploring Digital Conversation Corpora with Process Mining

Compagno, Dario; Epure, Elena V.; Deneckère, Rébecca; Salinesi, Camille

doi:10.1007/s41701-018-0030-6

Cited by 6 publications

(3 citation statements)

References 28 publications

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“…In Plakidis and Rehm (2022), an annotation of SA is done using a subset of 600 tweets taken from a German corpora of offensive and non-offensive tweets. Mainly inspired by Searle (1975), and building upon Compagno et al (2018) and Weisser (2018), the tweets are segmented in sentences, which are then annotated on two main levels : the syntactical level (eg. declarative, exclamative, imperative, etc.…”

Section: Sa In Other Domainsmentioning

confidence: 99%

Digging Communicative Intentions: The Case of Crises Events

Benamara,

Mari,

Meunier

et al. 2024

dad

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In emergency situations users of social networks convey all sorts of what have been called communicative intentions, well-known since the work of Austin (1962) and Searle (1969) as speech acts (SA). While speech acts have been the focus of close scrutiny in the philosophical and linguistic literature (see (Portner, 2018) for extended discussion), their role has been only rarely understood and exploited in processing social media content about crisis events, our focus here. Current work on communicative intentions in social media are topic-oriented, focusing on the correlation between SA and specific topics such as crisis (e.g., earthquakes) but also politics, celebrities, cooking, travel, etc. It has been observed that people globally tend to react to natural disasters with SA distinct from those used in other contexts (e.g., celebrities, which are essentially made up of comments). Here, we explore the further hypothesis of a correlation between different SA types and urgency and propose an in depth linguistic and computational analysis of communicative intentions in tweets from an urgency-oriented perspective. Indeed, SA are mostly relevant to identify intentions, desires, plans and preferences towards action and to ultimately produce a system intended to help rescue teams. Our contribution is four-fold and consists of: (1) A two-layer annotation scheme of speech acts both at the tweet and sub-tweet levels, (2) A new French dataset of about 13K tweets annotated for both urgency and SA, targeting both expected (e.g., storms) and unexpected or sudden (e.g., building collapse, explosion) events, (3) A thorough analysis of the annotations studying in particular the correlation between SA and the urgency of the message, SA and intentions to act categories (e.g., human damages), and SA and crisis types, finally, (4) A set of deep learning experiments to detect SA in crises related corpora. Our results show a strong correlation between SA and urgency annotations at both the tweet and sub-tweet levels with a particular salient correlation in the latter case, which constitutes a first important step towards SA-aware NLP-based crisis management on social media.

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Section: Sa In Other Domainsmentioning

confidence: 99%

Digging Communicative Intentions: The Case of Crises Events

Benamara,

Mari,

Meunier

et al. 2024

dad

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“…can be mean either 'i thank to you for the chance' or 'i refuse this chance'. Moreover, for Searle, the eventuality that the interlocutor fails to answer Thank you does not affect the meaning of the first speech act (and the meaning of Thank you, too, is independent from whatever preceded it) [5].…”

Section: Introductionmentioning

confidence: 99%

Searle’s Speech Act in Hamdan bin Muhammad’s Tweets on Twitter

Ana¹,

Chotimah²

2020

Proceedings of the Proceedings of the 2nd International Conference on Quran and Hadith Studies Information Technology and Media

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Speech act is one of the theories to study utterance in the scope of pragmatics. Because utterance is not only orally but also in written, this study describes theory of speech act in the tweets on twitter. This study concerns with the twitter of Hamdan bin Muhammad's account, a crown prince of Dubai. The formulation of the problem in this study is the various speech acts in Hamdan bin Muhammad's tweets on twitter. It used descriptive-qualitative methods with the primary data source Muhammad's story on Twitter. The secondary data sources comprise comments of the tweets, books and journals related to pragmatics and speech act theory. The results show the existence of Searle's speech act in Muhammad's tweets covering assertive, directive, expressive and declarative speech act. In his tweets Muhammad's tweets were mostly in the form of expressive speech act to show his feeling of happiness, pride, gratitude and positive mood to share with others.

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“…Process Mining (PM) focuses on the generated activities from business processes that can be used as a recommendation technique to direct the user on which next activity to follow according to his current activity [2,3]. PM 's main objective is to discover, check the conformance, and enhance the process models that are based on event logs [1].…”

Section: Introductionmentioning

confidence: 99%

Domain Ontology Construction with Activity Logs and Sensors Data – Case Study of Smart Home Activities

Elali

Kornyshova

Deneckère

et al. 2022

Lecture Notes in Business Information Processing

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Process mining relies on activity logs to discover process models, check their conformance, enhance processes, and recommend the next activity. On another side, many environmental factors such as time, location, weather, and profile are obtained from many sources, such as sensors, external systems, outside actors, or domain knowledge bases, and could also enhance recommendations. The existing research mainly focuses on single activity log datasets; only a few consider combining various sources. Our main goal is to provide better inputs to process discovery and better recommendations. In this paper, we focus on the combination of activity logs and sensors data with domain ontology as an intermediate step to attaining our goal. We use a case study of smart home activities to test this combination.

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Exploring Digital Conversation Corpora with Process Mining

Cited by 6 publications

References 28 publications

Digging Communicative Intentions: The Case of Crises Events

Digging Communicative Intentions: The Case of Crises Events

Searle’s Speech Act in Hamdan bin Muhammad’s Tweets on Twitter

Domain Ontology Construction with Activity Logs and Sensors Data – Case Study of Smart Home Activities

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