Exploring Digital Conversation Corpora with Process Mining
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-t...
Gespeichert in:
| Veröffentlicht in: | Corpus pragmatics : international journal of corpus linguistics and pragmatics 2018-06, Vol.2 (2), p.193-215 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 215 |
|---|---|
| container_issue | 2 |
| container_start_page | 193 |
| container_title | Corpus pragmatics : international journal of corpus linguistics and pragmatics |
| container_volume | 2 |
| creator | Compagno, Dario Epure, Elena V. Deneckere-Lebas, Rébecca Salinesi, Camille |
| description | 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. |
| doi_str_mv | 10.1007/s41701-018-0030-6 |
| format | Article |
| fullrecord | <record><control><sourceid>hal_cross</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_01722928v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>oai_HAL_hal_01722928v1</sourcerecordid><originalsourceid>FETCH-LOGICAL-c365t-34521074f4b69234b71ef2e82736916a77aca267f826f25a40c85729eef5f2743</originalsourceid><addsrcrecordid>eNp9kD1PwzAQhi0EElXpD2DLyhA4X_wVtqoUilQEA8yWG9mtqxBHdijw75soqCPTfeh9TrqHkGsKtxRA3iVGJdAcqMoBCsjFGZkghzIvOeXnpx7kJZmltAcALChTCBNyv_xp6xB9s80e_NZ3ps4WoTnYmEznQ9MPsQ3RZN--22VvMVQ2pezFNz1wRS6cqZOd_dUp-Xhcvi9W-fr16XkxX-dVIXiXF4wjBckc24gSC7aR1Dq0CmUhSiqMlKYyKKRTKBxyw6BSXGJpreMOJSum5Ga8uzO1bqP_NPFXB-P1ar7Www6oRCxRHWifpWO2iiGlaN0JoKAHV3p01TNKD6606BkcmdQOHmzU-_AVm_6lf6Aja91pnQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Exploring Digital Conversation Corpora with Process Mining</title><source>SpringerLink (Online service)</source><creator>Compagno, Dario ; Epure, Elena V. ; Deneckere-Lebas, Rébecca ; Salinesi, Camille</creator><creatorcontrib>Compagno, Dario ; Epure, Elena V. ; Deneckere-Lebas, Rébecca ; Salinesi, Camille</creatorcontrib><description>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.</description><identifier>ISSN: 2509-9507</identifier><identifier>EISSN: 2509-9515</identifier><identifier>DOI: 10.1007/s41701-018-0030-6</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Computational Linguistics ; Computer Appl. in Arts and Humanities ; Humanities and Social Sciences ; Library and information sciences ; Linguistics ; Original Paper ; Pragmatics ; Semantics ; Social Sciences</subject><ispartof>Corpus pragmatics : international journal of corpus linguistics and pragmatics, 2018-06, Vol.2 (2), p.193-215</ispartof><rights>Springer International Publishing AG, part of Springer Nature 2018</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c365t-34521074f4b69234b71ef2e82736916a77aca267f826f25a40c85729eef5f2743</citedby><cites>FETCH-LOGICAL-c365t-34521074f4b69234b71ef2e82736916a77aca267f826f25a40c85729eef5f2743</cites><orcidid>0000-0001-8295-792X ; 0000-0002-6930-9482 ; 0000-0002-7304-953X ; 0000-0002-1957-0519</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s41701-018-0030-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s41701-018-0030-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,315,781,785,886,27926,27927,41490,42559,51321</link.rule.ids><backlink>$$Uhttps://hal.univ-lorraine.fr/hal-01722928$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Compagno, Dario</creatorcontrib><creatorcontrib>Epure, Elena V.</creatorcontrib><creatorcontrib>Deneckere-Lebas, Rébecca</creatorcontrib><creatorcontrib>Salinesi, Camille</creatorcontrib><title>Exploring Digital Conversation Corpora with Process Mining</title><title>Corpus pragmatics : international journal of corpus linguistics and pragmatics</title><addtitle>Corpus Pragmatics</addtitle><description>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.</description><subject>Computational Linguistics</subject><subject>Computer Appl. in Arts and Humanities</subject><subject>Humanities and Social Sciences</subject><subject>Library and information sciences</subject><subject>Linguistics</subject><subject>Original Paper</subject><subject>Pragmatics</subject><subject>Semantics</subject><subject>Social Sciences</subject><issn>2509-9507</issn><issn>2509-9515</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kD1PwzAQhi0EElXpD2DLyhA4X_wVtqoUilQEA8yWG9mtqxBHdijw75soqCPTfeh9TrqHkGsKtxRA3iVGJdAcqMoBCsjFGZkghzIvOeXnpx7kJZmltAcALChTCBNyv_xp6xB9s80e_NZ3ps4WoTnYmEznQ9MPsQ3RZN--22VvMVQ2pezFNz1wRS6cqZOd_dUp-Xhcvi9W-fr16XkxX-dVIXiXF4wjBckc24gSC7aR1Dq0CmUhSiqMlKYyKKRTKBxyw6BSXGJpreMOJSum5Ga8uzO1bqP_NPFXB-P1ar7Www6oRCxRHWifpWO2iiGlaN0JoKAHV3p01TNKD6606BkcmdQOHmzU-_AVm_6lf6Aja91pnQ</recordid><startdate>20180601</startdate><enddate>20180601</enddate><creator>Compagno, Dario</creator><creator>Epure, Elena V.</creator><creator>Deneckere-Lebas, Rébecca</creator><creator>Salinesi, Camille</creator><general>Springer International Publishing</general><general>Spinger</general><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope><scope>BXJBU</scope><scope>IHQJB</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0001-8295-792X</orcidid><orcidid>https://orcid.org/0000-0002-6930-9482</orcidid><orcidid>https://orcid.org/0000-0002-7304-953X</orcidid><orcidid>https://orcid.org/0000-0002-1957-0519</orcidid></search><sort><creationdate>20180601</creationdate><title>Exploring Digital Conversation Corpora with Process Mining</title><author>Compagno, Dario ; Epure, Elena V. ; Deneckere-Lebas, Rébecca ; Salinesi, Camille</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-34521074f4b69234b71ef2e82736916a77aca267f826f25a40c85729eef5f2743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Computational Linguistics</topic><topic>Computer Appl. in Arts and Humanities</topic><topic>Humanities and Social Sciences</topic><topic>Library and information sciences</topic><topic>Linguistics</topic><topic>Original Paper</topic><topic>Pragmatics</topic><topic>Semantics</topic><topic>Social Sciences</topic><toplevel>online_resources</toplevel><creatorcontrib>Compagno, Dario</creatorcontrib><creatorcontrib>Epure, Elena V.</creatorcontrib><creatorcontrib>Deneckere-Lebas, Rébecca</creatorcontrib><creatorcontrib>Salinesi, Camille</creatorcontrib><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>HAL-SHS: Archive ouverte en Sciences de l'Homme et de la Société</collection><collection>HAL-SHS: Archive ouverte en Sciences de l'Homme et de la Société (Open Access)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Corpus pragmatics : international journal of corpus linguistics and pragmatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Compagno, Dario</au><au>Epure, Elena V.</au><au>Deneckere-Lebas, Rébecca</au><au>Salinesi, Camille</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploring Digital Conversation Corpora with Process Mining</atitle><jtitle>Corpus pragmatics : international journal of corpus linguistics and pragmatics</jtitle><stitle>Corpus Pragmatics</stitle><date>2018-06-01</date><risdate>2018</risdate><volume>2</volume><issue>2</issue><spage>193</spage><epage>215</epage><pages>193-215</pages><issn>2509-9507</issn><eissn>2509-9515</eissn><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.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s41701-018-0030-6</doi><tpages>23</tpages><orcidid>https://orcid.org/0000-0001-8295-792X</orcidid><orcidid>https://orcid.org/0000-0002-6930-9482</orcidid><orcidid>https://orcid.org/0000-0002-7304-953X</orcidid><orcidid>https://orcid.org/0000-0002-1957-0519</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2509-9507 |
| ispartof | Corpus pragmatics : international journal of corpus linguistics and pragmatics, 2018-06, Vol.2 (2), p.193-215 |
| issn | 2509-9507 2509-9515 |
| language | eng |
| recordid | cdi_hal_primary_oai_HAL_hal_01722928v1 |
| source | SpringerLink (Online service) |
| subjects | Computational Linguistics Computer Appl. in Arts and Humanities Humanities and Social Sciences Library and information sciences Linguistics Original Paper Pragmatics Semantics Social Sciences |
| title | Exploring Digital Conversation Corpora with Process Mining |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-17T17%3A42%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-hal_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Exploring%20Digital%20Conversation%20Corpora%20with%20Process%20Mining&rft.jtitle=Corpus%20pragmatics%20:%20international%20journal%20of%20corpus%20linguistics%20and%20pragmatics&rft.au=Compagno,%20Dario&rft.date=2018-06-01&rft.volume=2&rft.issue=2&rft.spage=193&rft.epage=215&rft.pages=193-215&rft.issn=2509-9507&rft.eissn=2509-9515&rft_id=info:doi/10.1007/s41701-018-0030-6&rft_dat=%3Chal_cross%3Eoai_HAL_hal_01722928v1%3C/hal_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |