The slurk Interaction Server Framework: Better Data for Better Dialog Models
Jana Götze, Maike Paetzel-Prüsmann, Wencke Liermann, Tim Diekmann, David Schlangen
Abstract
This paper presents the slurk software, a lightweight interaction server for setting up dialog data collections and running experiments. slurk enables a multitude of settings including text-based, speech and video interaction between two or more humans or humans and bots, and a multimodal display area for presenting shared or private interactive context. The software is implemented in Python with an HTML and JavaScript frontend that can easily be adapted to individual needs. It also provides a setup for pairing participants on common crowdworking platforms such as Amazon Mechanical Turk and some example bot scripts for common interaction scenarios.- Anthology ID:
- 2022.lrec-1.433
- Volume:
- Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 4069–4078
- Language:
- URL:
- https://aclanthology.org/2022.lrec-1.433
- DOI:
- Cite (ACL):
- Jana Götze, Maike Paetzel-Prüsmann, Wencke Liermann, Tim Diekmann, and David Schlangen. 2022. The slurk Interaction Server Framework: Better Data for Better Dialog Models. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 4069–4078, Marseille, France. European Language Resources Association.
- Cite (Informal):
- The slurk Interaction Server Framework: Better Data for Better Dialog Models (Götze et al., LREC 2022)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/2022.lrec-1.433.pdf