Do We Need Online NLU Tools?
Not on the map. Why?
Abstract (arXiv)
The intent recognition is an essential algorithm of any conversational AI application. It is responsible for the classification of an input message into meaningful classes. In many bot development platforms, we can configure the NLU pipeline. Several intent recognition services are currently available as an API, or we choose from many open-source alternatives. However, there is no comparison of intent recognition services and open-source algorithms. Many factors make the selection of the right approach to the intent recognition challenging in practice. In this paper, we suggest criteria to choose the best intent recognition algorithm for an application. We present a dataset for evaluation. Finally, we compare selected public NLU services with selected open-source algorithms for intent recognition.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 19 Nov 2020.
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Citing papers per year: 2021: 1; 2022: 2.
3 papers.
- 2021One System to Rule them All: a Universal Intent Recognition System for Customer Service Chatbotscited by 2
- 2022When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systemscited by 2
- 2022Flowstorm: Open-Source Platform with Hybrid Dialogue Architecturecited by 0
- 2022Flowstorm: Open-Source Platform with Hybrid Dialogue Architecture19 Dec 2022
- 2022When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems24 May 2022
- 2021One System to Rule them All: a Universal Intent Recognition System for Customer Service Chatbots15 Dec 2021