Vicente Ivan Sanchez Carmona


Intent Segmentation of User Queries Via Discourse Parsing
Vicente Ivan Sanchez Carmona | Yibing Yang | Ziyue Wen | Ruosen Li | Xiaohua Wang | Changjian Hu
Proceedings of the Second International Workshop of Discourse Processing

In this paper, we explore a new approach based on discourse analysis for the task of intent segmentation. Our target texts are user queries from a real-world chatbot. Our results show the feasibility of our approach with an F1-score of 82.97 points, and some advantages and disadvantages compared to two machine learning baselines: BERT and LSTM+CRF.