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.

自然语言处理（NLP）现在已广泛集成到Web和移动应用程序中，从而实现了人机之间的自然交互。尽管在信息系统（IS）中发布了大量NLP研究，但是尚未对在IS的背景下如何概念化和实现NLP研究进行全面综述。为了评估IS中NLP研究的现状，我们使用多种技术来分析文学语料库，其中包括2004年至2018年间在IS期刊上发表的356条NLP研究文章。我们的分析表明需要从语义学转向语用学。更重要的是，我们的发现揭示了当前NLP研究趋势所面临的挑战和假设。我们认为，克服这些挑战将需要新的纪律性IS重点。