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TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition

2021-09-13 02:08:18
Hanlei Zhang, Xiaoteng Li, Hua Xu, Panpan Zhang, Kang Zhao, Kai Gao
arXiv_CL
         
Abstract

TEXTOIR is the first integrated and visualized platform for text open intent recognition. It is composed of two main modules: open intent detection and open intent discovery. Each module integrates most of the state-of-the-art algorithms and benchmark intent datasets. It also contains an overall framework connecting the two modules in a pipeline scheme. In addition, this platform has visualized tools for data and model management, training, evaluation and analysis of the performance from different aspects. TEXTOIR provides useful toolkits and convenient visualized interfaces for each sub-module (Toolkit code: this https URL), and designs a framework to implement a complete process to both identify known intents and discover open intents (Demo code: this https URL).

Abstract (translated)

URL

https://arxiv.org/abs/2110.15063

PDF

https://arxiv.org/pdf/2110.15063.pdf

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