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dc.contributor.authorVogel, Carl
dc.date.accessioned2020-12-22T11:25:58Z
dc.date.available2020-12-22T11:25:58Z
dc.date.issued2020
dc.date.submitted2020en
dc.identifier.citationReverdy, J., Akira, H., Vogel, C., Map Task Deviation Scores: A Reconstruction, 2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), Mariehamn, Finland, 2020, 349-354en
dc.identifier.otherY
dc.description.abstractThe Human Communication Research Centre Map Task Corpus is a landmark data source for analysis of multimodal dialogue corpora. The task in this dialogue is the communication by an information giver of a path on a map to an information follower. The corpus includes a measure of task success for each dialogue: the deviation from path scores (the information follower's path from the information giver's path). The original HCRC Map Task works gives information on how the scores for each map were calculated. However, upon analysis and inspection of the corpus materials, we find that it is not possible to reproduce the recorded scores exactly. We report four candidate reconstructions that all appear rational, and note the correlations these lead to with the deviation scores recorded with the corpus. This is important to anyone wishing to reproduce the HCRC method on map-task corpora.en
dc.format.extent349-354en
dc.language.isoenen
dc.rightsYen
dc.titleMap Task Deviation Scores: A Reconstructionen
dc.title.alternative11th IEEE International Conference on Cognitive Infocommunicationsen
dc.typeConference Paperen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/vogel
dc.identifier.rssinternalid222315
dc.identifier.doihttp://doi.org/10.1109/CogInfoCom50765.2020.9237858
dc.rights.ecaccessrightsopenAccess
dc.subject.TCDThemeDigital Engagementen
dc.subject.TCDThemeDigital Humanitiesen
dc.subject.TCDTagComputational Linguisticsen
dc.subject.TCDTagComputational linguisticsen
dc.subject.TCDTagDialogue Actsen
dc.subject.TCDTagDiscourse & Dialogueen
dc.subject.TCDTagSocial Dialogueen
dc.subject.TCDTagcomputational linguisticsen
dc.identifier.orcid_id0000-0001-8928-8546
dc.contributor.sponsorScience Foundation Ireland (SFI)en
dc.contributor.sponsorGrantNumber13/RC/2106en
dc.identifier.urihttp://hdl.handle.net/2262/94452


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