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Title: | Learning to classify the feedback function of head movements in a Danish Corpus of first encounters |
Authors: | Paggio, Patrizia Navarretta, Costanza |
Keywords: | Corpora (Linguistics) Facial expression -- Data processing Body language -- Research Automatic speech recognition Speech acts (Linguistics) -- Data processing Discourse analysis |
Issue Date: | 2011 |
Citation: | Paggio, P., & Navarretta, C. (2011, November). Learning to classify the feedback function of head movements in a Danish Corpus of first encounters. Proceedings of ICMI2011 Workshop Multimodal Corpora for Machine Learning, Spain. 1-6. |
Abstract: | This paper deals with the automatic classification of feedback by head movement in the Danish NOMCO corpus, a collection of dyadic interactions in which speakers get to know each other for the first time. The results show that by using a combination of features related to the shape of head movements and facial expressions, together with features of the words these gestures are related with, good results (an F-score of 0.72) are achieved in distinguishing head movements used to express feedback from those that serve a different communicative function. Moreover, the distinction between feedback give and feedback elicit, can also be learnt with very good accuracy (an F-score of 0.913), although this result should be taken with caution due to the fact that one of the behaviours is much more dominant than the other in the corpus. |
URI: | https://www.um.edu.mt/library/oar/handle/123456789/104341 |
Appears in Collections: | Scholarly Works - InsLin |
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