The Code2Text Challenge: Text Generation in Source Libraries

Kyle Richardson, Sina Zarrieß, Jonas Kuhn

Abstract
We propose a new shared task for tactical data-to-text generation in the domain of source code libraries. Specifically, we focus on text generation of function descriptions from example software projects. Data is drawn from existing resources used for studying the related problem of semantic parser induction, and spans a wide variety of both natural languages and programming languages. In this paper, we describe these existing resources, which will serve as training and development data for the task, and discuss plans for building new independent test sets.
Anthology ID:
W17-3516
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:
115–119
Language:
URL:
https://aclanthology.org/W17-3516
DOI:
10.18653/v1/W17-3516
Bibkey:
Cite (ACL):
Kyle Richardson, Sina Zarrieß, and Jonas Kuhn. 2017. The Code2Text Challenge: Text Generation in Source Libraries. In Proceedings of the 10th International Conference on Natural Language Generation, pages 115–119, Santiago de Compostela, Spain. Association for Computational Linguistics.
Cite (Informal):
The Code2Text Challenge: Text Generation in Source Libraries (Richardson et al., INLG 2017)
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PDF:
https://preview.aclanthology.org/nschneid-patch-3/W17-3516.pdf
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