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Found 15 papers, 2 papers with code
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.
Letters From the Past: Modeling Historical Sound Change Through Diachronic Character Embeddings
While a great deal of work has been done on NLP approaches to lexical semantic change detection, other aspects of language change have received less attention from the NLP community.
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.
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.
Identifying Temporal Trends Based on Perplexity and Clustering: Are We Looking at Language Change?
In this work we propose a data-driven methodology for identifying temporal trends in a corpus of medieval charters.
Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions
To gain a better understanding of the variation we find in face description and the possible issues that this may raise, we also conducted an annotation study on a subset of the corpus.
Investigating Redundancy in Emoji Use: Study on a Twitter Based Corpus
In this paper we present an annotated corpus created with the aim of analyzing the informative behaviour of emoji {--} an issue of importance for sentiment analysis and natural language processing.
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.
The Effect of Gender and Age Differences on the Recognition of Emotions from Facial Expressions
Recent studies have demonstrated gender and cultural differences in the recognition of emotions in facial expressions.
Cultural Vocal Bursts Intensity Prediction
Emotion Recognition
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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.
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.
