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

摘要

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 , and designs a framework to implement a complete process to both identify known intents and discover open intents. Codes can be found at https://github.com/thuiar/TEXTOIR

出版物
Proceedings of the the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations (ACL-IJCNLP 2021, demo paper, CCF A)
张瀚镭
张瀚镭
博士研究生

我的研究方向为多模态对话意图发现。

李晓腾
李晓腾
访问研究生

我的研究方向为命名实体识别。

徐华
徐华
长聘副教授, Expert Systems with Application 副主编,博士生导师
赵康
访问研究生

我的研究方向为实体关系抽取。