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Investment in new research and technology is made under the assumption that scientific claims are supported by solid evidence; however, recent studies have shown that this is often not the case. For example, it has been shown that for some published results with major impact, replication of published results is difficult or impossible (e.g. Prinz et al. 2011; Begley and Ellis 2012; Fokkens et al. 2013; Anderson et al. 2015), and that exaggerated and false claims, sometimes with fabricated data and fake authors, have been accepted by and published in respectable journals (e.g., Fanelli 2009; Ioannidis 2011; Bohannon 2013; Hvistendahl 2013). As a result, there is an increasingly urgent call for validation and verification of published research results, both within the academic community and the public at large (e.g. Naik 2011; Zimmer 2012; Begley 2012; Editorial 2013a, b; Branco 2012). The discussion surrounding the reliability of published scientific results is often focused on the Life Sciences, especially in the media because of the immediate relevance of work in genomics, neuroscience, and other health-related areas to the public good; but the problem extends to all empirically-based

Replicability and reproducibility of research results for human language technology: introducing an LRE special section