IDEAS home Printed from https://ideas.repec.org/a/taf/tjisxx/v30y2021i5p569-590.html
   My bibliography  Save this article

From semantics to pragmatics: where IS can lead in Natural Language Processing (NLP) research

Author

Listed:
  • Yan Li
  • Manoj a Thomas
  • Dapeng Liu

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.

Suggested Citation

  • Yan Li & Manoj a Thomas & Dapeng Liu, 2021. "From semantics to pragmatics: where IS can lead in Natural Language Processing (NLP) research," European Journal of Information Systems, Taylor & Francis Journals, vol. 30(5), pages 569-590, September.
  • Handle: RePEc:taf:tjisxx:v:30:y:2021:i:5:p:569-590
    DOI: 10.1080/0960085X.2020.1816145
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0960085X.2020.1816145
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0960085X.2020.1816145?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tjisxx:v:30:y:2021:i:5:p:569-590. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjis .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.