1 code implementation • LREC 2018 • Albert Gatt, Marc Tanti, Adrian Muscat, Patrizia Paggio, Reuben A. Farrugia, Claudia Borg, Kenneth P. Camilleri, Mike Rosner, Lonneke van der Plas
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.
no code implementations • WS 2017 • Patrizia Paggio, Costanza Navarretta, Bart Jongejan
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.
no code implementations • WS 2017 • Giulia Donato, Patrizia Paggio
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.
no code implementations • WS 2016 • Daniela Schneevogt, Patrizia Paggio
Recent studies have demonstrated gender and cultural differences in the recognition of emotions in facial expressions.
Cultural Vocal Bursts Intensity Prediction Emotion Recognition +1
no code implementations • LREC 2012 • Costanza Navarretta, Patrizia Paggio
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.
no code implementations • LREC 2012 • Costanza Navarretta, Elisabeth Ahls{\'e}n, Jens Allwood, Kristiina Jokinen, Patrizia Paggio
In particular, Danes use Down-nods more frequently than Finns and Swedes, while Swedes use Up-nods more frequently than Finns and Danes.
no code implementations • WS 2019 • Sidsel Boldsen, Manex Agirrezabal, Patrizia Paggio
In this work we propose a data-driven methodology for identifying temporal trends in a corpus of medieval charters.
no code implementations • LREC 2020 • Patrizia Paggio, Manex Agirrezabal, Bart Jongejan, Costanza Navarretta
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.
no code implementations • LREC 2020 • Costanza Navarretta, Patrizia Paggio
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.
no code implementations • EMNLP (LAW, DMR) 2021 • Patrizia Paggio, Costanza Navarretta, Bart Jongejan, Manex Agirrezabal
We present a method to support the annotation of head movements in video-recorded conversations.
1 code implementation • ACL 2022 • Sidsel Boldsen, Patrizia Paggio
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.