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Towards a Methodology Supporting Semiautomatic Annotation of HeadMovements in Video-recorded Conversations
We present a method to support the annotation of head movements in video-recorded conversations.
The Subject Annotations of the Danish Parliament Corpus (2009-2017) - Evaluated with Automatic Multi-label Classification
The paper also contains an analysis of the subjects in the corpus, and a description of multi-label classification experiments act to verify the consistency of the subject annotation and the utility of the corpus for training classifiers on this type of data.
Immigration in the Manifestos and Parliament Speeches of Danish Left and Right Wing Parties between 2009 and 2020
The paper presents a study of how seven Danish left and right wing parties addressed immigration in their 2011, 2015 and 2019 manifestos and in their speeches in the Danish Parliament from 2009 to 2020.
Automatic Detection and Classification of Head Movements in Face-to-Face Conversations
This paper presents an approach to automatic head movement detection and classification in data from a corpus of video-recorded face-to-face conversations in Danish involving 12 different speakers.
Identifying Parties in Manifestos and Parliament Speeches
These results are significantly better than the results obtained by the majority classifier (F1-score = 0. 11) and by chance results (0. 25) and show that building language models over the speeches used by politicians can be used to identify the politicians{'} party even if they debate about the same subjects and thus often use the same terminology in many cases.
Creating a Corpus of Gestures and Predicting the Audience Response based on Gestures in Speeches of Donald Trump
The aim of this study is to explore the role of speech pauses and gestures alone as predictors of audience reaction without other types of speech information.
Dialogue Act Annotation in a Multimodal Corpus of First Encounter Dialogues
This paper deals with the annotation of dialogue acts in a multimodal corpus of first encounter dialogues, i. e. face-to- face dialogues in which two people who meet for the first time talk with no particular purpose other than just talking.
Automatic identification of head movements in video-recorded conversations: can words help?
The results of the automatic annotation are evaluated against manual annotations in the same data and show an accuracy of 68{\%} with respect to these.
Mirroring Facial Expressions and Emotions in Dyadic Conversations
In this study, we want to determine whether the overlapping facial expressions are mirrored or are otherwise correlated in the encounters, and to what extent mirroring facial expressions convey the same emotion.
Transfer learning of feedback head expressions in Danish and Polish comparable multimodal corpora
However, they also confirm preceding studies that have identified both similarities and differences in the use of feedback head movements in different languages.
CLARA: A New Generation of Researchers in Common Language Resources and Their Applications
CLARA (Common Language Resources and Their Applications) is a Marie Curie Initial Training Network which ran from 2009 until 2014 with the aim of providing researcher training in crucial areas related to language resources and infrastructure.
Multimodal Behaviour and Feedback in Different Types of Interaction
In this article, we compare feedback-related multimodal behaviours in two different types of interactions: first encounters between two participants who do not know each other in advance, and naturally-occurring conversations between two and three participants recorded at their homes.
Feedback in Nordic First-Encounters: a Comparative Study
In particular, Danes use Down-nods more frequently than Finns and Swedes, while Swedes use Up-nods more frequently than Finns and Danes.
