Assessing agreement on classification tasks: the kappa statistic

Autor: Carletta, Jean

Publikováno v: Computational Lingustics 22:2 (1996 forthcoming)

Currently, computational linguists and cognitive scientists working in the area of discourse and dialogue argue that their subjective judgments are reliable using several different statistics, none of which are easily interpretable or comparable to e

Externí odkaz: http://arxiv.org/abs/cmp-lg/9602004

Unleashing the Killer Corpus: Experiences in Creating the Multi-Everything AMI Meeting Corpus

Autor: Carletta, Jean

Publikováno v: Language Resources and Evaluation, 2007 May 01. 41(2), 181-190.

Externí odkaz: https://www.jstor.org/stable/30200580

Group Discussion as Interactive Dialogue or as Serial Monologue: The Influence of Group Size

Autor: Fay, Nicolas, Garrod, Simon, Carletta, Jean

Publikováno v: Psychological Science, 2000 Nov 01. 11(6), 481-486.

Externí odkaz: https://www.jstor.org/stable/40063620

Multi-modal analysis of small-group conversational dynamics

Autor: op den Akker, Hendrikus J.A., Gatica-Perez, Daniel, Heylen, Dirk K.J., Renals, Steve, Bourlard, Hervé, Carletta, Jean, Popescu-Belis, Andrei

Publikováno v: Multimodal Signal Processing, 155-169
STARTPAGE=155;ENDPAGE=169;TITLE=Multimodal Signal Processing

This chapter provides an overview of the basic problems realted to automatic understanding of conversational group dynamics. It provides an overview of current research in automatic detection of the addressee(s) of the speaker in multiparty conversat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::d7977575d2633fb4f7065d1812b64664
https://research.utwente.nl/en/publications/multimodal-analysis-of-smallgroup-conversational-dynamics(947488b9-57c1-450e-b091-5e838a823cad).html

The AMI Meeting Corpus: A Pre-announcement

Autor: Carletta, Jean, Ashby, Simone, Bourban, Sebastien, Flynn, Mike, Guillemot, Mael, Hain, Thomas, Kadlec, Jaroslav, Karaiskos, Vasilis, Kraaij, Wessel, Kronenthal, Melissa, Lathoud, Guillaume, Lincoln, Mike, Lisowska, Agnes, McCowan, Iain, Post, Wilfried, Reidsma, Dennis, Wellner, Pierre, Renals, S., Bengio, S.

Publikováno v: Machine Learning for Multimodal Interaction, Second International Workshop, 28-39
STARTPAGE=28;ENDPAGE=39;TITLE=Machine Learning for Multimodal Interaction, Second International Workshop
Machine Learning for Multimodal Interaction ISBN: 9783540325499
MLMI
Lecture Notes in Computer Science. Springer Verlag

The AMI Meeting Corpus is a multi-modal data set consisting of 100 hours of meeting recordings. It is being created in the context of a project that is developing meeting browsing technology and will eventually be released publicly. Some of the meeti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04c182040e95781dd80f63c9d73a6cc4
https://doi.org/10.1007/11677482_3