Abstract
Corpora of referring expressions elicited from human participants in a controlled environment are an important resource for research on automatic referring expression generation. We here present G-TUNA, a new corpus of referring expressions for German. Using the furniture stimuli set developed for the TUNA and D-TUNA corpora, our corpus extends on these corpora by providing data collected in a simulated driving dual-task setting, and additionally provides exact duration annotations for the spoken referring expressions. This corpus will hence allow researchers to analyze the interaction between referring expression length and speech rate, under conditions where the listener is under high vs. low cognitive load.- Anthology ID:
- W17-3522
- Volume:
- Proceedings of the 10th International Conference on Natural Language Generation
- Month:
- September
- Year:
- 2017
- Address:
- Santiago de Compostela, Spain
- Editors:
- Jose M. Alonso, Alberto Bugarín, Ehud Reiter
- Venue:
- INLG
- SIG:
- SIGGEN
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 149–153
- Language:
- URL:
- https://aclanthology.org/W17-3522
- DOI:
- 10.18653/v1/W17-3522
- Cite (ACL):
- David Howcroft, Jorrig Vogels, and Vera Demberg. 2017. G-TUNA: a corpus of referring expressions in German, including duration information. In Proceedings of the 10th International Conference on Natural Language Generation, pages 149–153, Santiago de Compostela, Spain. Association for Computational Linguistics.
- Cite (Informal):
- G-TUNA: a corpus of referring expressions in German, including duration information (Howcroft et al., INLG 2017)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/W17-3522.pdf