The Metalogue Debate Trainee Corpus: Data Collection and Annotation

Volha Petukhova, Andrei Malchanau, Youssef Oualil, Dietrich Klakow, Saturnino Luz, Fasih Haider, Nick Campbell, Dimitris Koryzis, Dimitris Spiliotopoulos, Pierre Albert, Nicklas Linz, Jan Alexandersson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

This paper describes the Metalogue Debate Trainee Corpus (DTC). DTC has been collected and annotated in order to facilitate thedesign of instructional and interactive models for Virtual Debate Coach application - an intelligent tutoring system used by youngparliamentarians to train their debate skills. The training is concerned with the use of appropriate multimodal rhetorical devices in orderto improve (1) the organization of arguments, (2) arguments’ content selection, and (3) argument delivery techniques. DTC containstracking data from motion and speech capturing devices and semantic annotations - dialogue acts - as defined in ISO 24617-2 anddiscourse relations as defined in ISO 24617-8. The corpus comes with a manual describing the data collection process, annotationactivities including an overview of basic concepts and their definitions including annotation schemes and guidelines on how to applythem, tools and other resources. DTC will be released in the ELRA catalogue in second half of 2018.
Original languageEnglish
Title of host publicationProceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
EditorsNicoletta Calzolari (Conference chair), Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Koiti Hasida, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis, Takenobu Tokunaga
Place of PublicationMiyazaki, Japan
PublisherEuropean Language Resources Association (ELRA)
ISBN (Print)979-10-95546-00-9
Publication statusPublished - 7 May 2018


Dive into the research topics of 'The Metalogue Debate Trainee Corpus: Data Collection and Annotation'. Together they form a unique fingerprint.

Cite this