论文标题
OS团队的对话机器人竞赛2022
Team OS's System for Dialogue Robot Competition 2022
论文作者
论文摘要
本文介绍了我们针对对话机器人竞争2022的对话机器人系统Osbot。对话流程基于手动描述的状态过渡，过渡条件使用关键字提取和情感分析的结果。通过在电子表格上管理它们，可以轻松查看和编辑过渡。关键字提取基于命名实体提取和我们预定义的关键字集。情感分析是基于文本的，并使用了SVM，该SVM经过多模式对话Copus Hazumi培训。我们通过使用记录功能快速检查并编辑了对话流。在比赛的初步回合中，我们的系统最终排名第三。
This paper describes our dialogue robot system, OSbot, developed for Dialogue Robot Competition 2022. The dialogue flow is based on state transitions described manually and the transition conditions use the results of keyword extraction and sentiment analysis. The transitions can be easily viewed and edited by managing them on a spreadsheet. The keyword extraction is based on named entity extraction and our predefined keyword set. The sentiment analysis is text-based and uses SVM, which was trained with the multimodal dialogue corpus Hazumi. We quickly checked and edited a dialogue flow by using a logging function. In the competition's preliminary round, our system ended up in third place.
