A Decision Model for Designing NLP Applications

Eason Chen*, Yuen Hsien Tseng

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

摘要

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.

原文英語
主出版物標題WWW 2022 - Companion Proceedings of the Web Conference 2022
發行者Association for Computing Machinery, Inc
頁面1206-1210
頁數5
ISBN(電子)9781450391306
DOIs
出版狀態已發佈 - 2022 4月 25
事件31st ACM Web Conference, WWW 2022 - Virtual, Online, 法国
持續時間: 2022 4月 25 → …

出版系列

名字WWW 2022 - Companion Proceedings of the Web Conference 2022

會議

會議31st ACM Web Conference, WWW 2022
國家/地區法国
城市Virtual, Online
期間2022/04/25 → …

ASJC Scopus subject areas

  • 電腦網路與通信
  • 軟體

指紋

深入研究「A Decision Model for Designing NLP Applications」主題。共同形成了獨特的指紋。

引用此