Do We Need Online NLU Tools?

November 19, 2020 ยท Declared Dead ยท ๐Ÿ› Language Resources and Evaluation

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Authors Petr Lorenc, Petr Marek, Jan Pichl, Jakub Konrรกd, Jan ล edivรฝ arXiv ID 2011.09825 Category cs.CL: Computation & Language Citations 6 Venue Language Resources and Evaluation Last Checked 5 months ago
Abstract
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.
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