Community Perspective on Replicability in Natural Language Processing
Margot Mieskes, Kar{\"e}n Fort, Aur{\'e}lie N{\'e}v{\'e}ol, Cyril Grouin, Kevin Cohen
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ReproduceAbstract
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.