Dirk Heylen


2024

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Exploration of Human Repair Initiation in Task-oriented Dialogue: A Linguistic Feature-based Approach
Anh Ngo | Dirk Heylen | Nicolas Rollet | Catherine Pelachaud | Chloé Clavel
Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue

In daily conversations, people often encounter problems prompting conversational repair to enhance mutual understanding. By employing an automatic coreference solver, alongside examining repetition, we identify various linguistic features that distinguish turns when the addressee initiates repair from those when they do not. Our findings reveal distinct patterns that characterize the repair sequence and each type of repair initiation.

2022

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Toward a Semi-Automated Scoping Review of Virtual Human Smiles
Sharon Mozgai | Jade Winn | Cari Kaurloto | Andrew Leeds | Dirk Heylen | Arno Hartholt
Proceedings of the Workshop on Smiling and Laughter across Contexts and the Life-span within the 13th Language Resources and Evaluation Conference

Smiles are a fundamental facial expression for successful human-agent communication. The growing number of publications in this domain presents an opportunity for future research and design to be informed by a scoping review of the extant literature. This semi-automated review expedites the first steps toward the mapping of Virtual Human (VH) smile research. This paper contributes an overview of the status quo of VH smile research, identifies research streams through cluster analysis, identifies prolific authors in the field, and provides evidence that a full scoping review is needed to synthesize the findings in the expanding domain of VH smile research. To enable collaboration, we provide full access to the refined VH smile dataset, key word and author word clouds, as well as interactive evidence maps.

2018

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An Information-Providing Closed-Domain Human-Agent Interaction Corpus
Jelte van Waterschoot | Guillaume Dubuisson Duplessis | Lorenzo Gatti | Merijn Bruijnes | Dirk Heylen
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

2014

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Twente Debate Corpus — A Multimodal Corpus for Head Movement Analysis
Bayu Rahayudi | Ronald Poppe | Dirk Heylen
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

This paper introduces a multimodal discussion corpus for the study into head movement and turn-taking patterns in debates. Given that participants either acted alone or in a pair, cooperation and competition and their nonverbal correlates can be analyzed. In addition to the video and audio of the recordings, the corpus contains automatically estimated head movements, and manual annotations of who is speaking and who is looking where. The corpus consists of over 2 hours of debates, in 6 groups with 18 participants in total. We describe the recording setup and present initial analyses of the recorded data. We found that the person who acted as single debater speaks more and also receives more attention compared to the other debaters, also when corrected for the time speaking. We also found that a single debater was more likely to speak after a team debater. Future work will be aimed at further analysis of the relation between speaking and looking patterns, the outcome of the debate and perceived dominance of the debaters.

2007

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Proceedings of the Workshop on Embodied Language Processing
Justine Cassell | Dirk Heylen
Proceedings of the Workshop on Embodied Language Processing

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Computing Backchannel Distributions in Multi-Party Conversations
Dirk Heylen | Rieks op den Akker
Proceedings of the Workshop on Embodied Language Processing

2006

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Annotating Emotions in Meetings
Dennis Reidsma | Dirk Heylen | Roeland Ordelman
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

We present the results of two trials testing procedures for the annotation of emotion and mental state of the AMI corpus. The first procedure is an adaptation of the FeelTrace method, focusing on a continuous labelling of emotion dimensions. The second method is centered around more discrete labeling of segments using categorical labels. The results reported are promising for this hard task.

1994

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Lexical Functions and Machine Translation
Dirk Heylen | Kerry G. Maxwell | Marc Verhagen
COLING 1994 Volume 2: The 15th International Conference on Computational Linguistics

1993

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A Constraint-based Representation Scheme of Collocational Structures
Dirk Heylen | Andre Schenk | Marc Verhagen
Sixth Conference of the European Chapter of the Association for Computational Linguistics

1988

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Massive Disambiguation of Large Text Corpora With Flexible Categorial Grammar
Ton van der Wouden | Dirk Heylen
Coling Budapest 1988 Volume 2: International Conference on Computational Linguistics