Abstract
Digital recorded written and spoken dialogues are becoming increasingly available as an effect of the technological advances such as online messenger services and the use of chatbots. Summaries are a natural way of presenting the important information gathered from dialogues. We present a unique data set that consists of Dutch spoken human-computer conversations, an annotation layer of turn labels, and conversational abstractive summaries of user answers. The data set is publicly available for research purposes.- Anthology ID:
- 2022.lrec-1.240
- Volume:
- Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 2236–2244
- Language:
- URL:
- https://aclanthology.org/2022.lrec-1.240
- DOI:
- Cite (ACL):
- Iris Hendrickx. 2022. Creating a Data Set of Abstractive Summaries of Turn-labeled Spoken Human-Computer Conversations. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 2236–2244, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Creating a Data Set of Abstractive Summaries of Turn-labeled Spoken Human-Computer Conversations (Hendrickx, LREC 2022)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/2022.lrec-1.240.pdf