A Decision Model for Designing NLP Applications

Eason Chen*, Yuen Hsien Tseng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


Among the NLP models' usages, some applications provide multiple output options, and some offer only a single result to the end-users. However, there is little research about which situations providing multiple outputs from NLP models will benefit the user experience. Therefore, in this position paper, we summarize the progress of NLP applications, which shows parallel outputs from the NLP model at once to users. Then a decision model is presented that can assist in deciding whether a given condition is suitable to show multiple outputs at once from the NLP model. We hope developers and UX designers can examine the decision model and create an easy-to-use interface that can present numerous results from the NLP model at once. Moreover, we hope future researchers can reference the decision model from this paper to explore the potential of other NLP models' usage that can show parallel outputs at once to create a more satisfactory user experience.

Original languageEnglish
Title of host publicationWWW 2022 - Companion Proceedings of the Web Conference 2022
PublisherAssociation for Computing Machinery, Inc
Number of pages5
ISBN (Electronic)9781450391306
Publication statusPublished - 2022 Apr 25
Event31st ACM Web Conference, WWW 2022 - Virtual, Online, France
Duration: 2022 Apr 25 → …

Publication series

NameWWW 2022 - Companion Proceedings of the Web Conference 2022


Conference31st ACM Web Conference, WWW 2022
CityVirtual, Online
Period2022/04/25 → …


  • Decision Model
  • Natural Language Generation
  • Natural Language Processing
  • User Experience

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software


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