ABSTRACT

Natural Language Processing (NLP) is now widely integrated into web and mobile applications, enabling natural interactions between humans and computers. Although there is a large body of NLP studies published in Information Systems (IS), a comprehensive review of how NLP research is conceptualised and realised in the context of IS has not been conducted. To assess the current state of NLP research in IS, we use a variety of techniques to analyse a literature corpus comprising 356 NLP research articles published in IS journals between 2004 and 2018. Our analysis indicates the need to move from semantics to pragmatics. More importantly, our findings unpack the challenges and assumptions underlying current research trends in NLP. We argue that overcoming these challenges will require a renewed disciplinary IS focus. By proposing a roadmap of NLP research in IS, we draw attention to three NLP research perspectives and present future directions that IS researchers are uniquely positioned to address.

摘要

自然语言处理 (NLP) 现在已广泛集成到 Web 和移动应用程序中，从而实现人与计算机之间的自然交互。尽管在信息系统 (IS) 上发表了大量 NLP 研究，但尚未对 NLP 研究如何在 IS 的背景下概念化和实现进行全面审查。为了评估 IS 中 NLP 研究的现状，我们使用各种技术来分析包含 2004 年至 2018 年间在 IS 期刊上发表的 356 篇 NLP 研究文章的文献语料库。我们的分析表明需要从语义转向语用学。更重要的是，我们的发现揭示了当前 NLP 研究趋势背后的挑战和假设。我们认为，克服这些挑战需要重新关注 IS 学科。