Community Perspective on Replicability in Natural Language Processing

Margot Mieskes, Karën Fort, Aurélie Névéol, Cyril Grouin, Kevin Cohen


Abstract
With recent efforts in drawing attention to the task of replicating and/or reproducing results, for example in the context of COLING 2018 and various LREC workshops, the question arises how the NLP community views the topic of replicability in general. Using a survey, in which we involve members of the NLP community, we investigate how our community perceives this topic, its relevance and options for improvement. Based on over two hundred participants, the survey results confirm earlier observations, that successful reproducibility requires more than having access to code and data. Additionally, the results show that the topic has to be tackled from the authors’, reviewers’ and community’s side.
Anthology ID:
R19-1089
Volume:
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
Month:
September
Year:
2019
Address:
Varna, Bulgaria
Venue:
RANLP
SIG:
Publisher:
INCOMA Ltd.
Note:
Pages:
768–775
Language:
URL:
https://aclanthology.org/R19-1089
DOI:
10.26615/978-954-452-056-4_089
Bibkey:
Cite (ACL):
Margot Mieskes, Karën Fort, Aurélie Névéol, Cyril Grouin, and Kevin Cohen. 2019. Community Perspective on Replicability in Natural Language Processing. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019), pages 768–775, Varna, Bulgaria. INCOMA Ltd..
Cite (Informal):
Community Perspective on Replicability in Natural Language Processing (Mieskes et al., RANLP 2019)
Copy Citation:
PDF:
https://aclanthology.org/R19-1089.pdf