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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.
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.
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.
Implementation of a Workflow Management System for Non-Expert Users
In the Danish CLARIN-DK infrastructure, chaining language technology (LT) tools into a workflow is easy even for a non-expert user, because she only needs to specify the input and the desired output of the workflow.
Automatic annotation of head velocity and acceleration in Anvil
We describe an automatic face tracker plugin for the ANVIL annotation tool.
