A Vietnamese Text-Based Conversational Agent

Autor:	Nguyen, Dai Quoc, Nguyen, Dat Quoc, Pham, Son Bao
Rok vydání:	2019
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
DOI:	10.1007/978-3-642-31087-4_71
Popis:	This paper introduces a Vietnamese text-based conversational agent architecture on specific knowledge domain which is integrated in a question answering system. When the question answering system fails to provide answers to users' input, our conversational agent can step in to interact with users to provide answers to users. Experimental results are promising where our Vietnamese text-based conversational agent achieves positive feedback in a study conducted in the university academic regulation domain. Comment: In Proceedings of the 25th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2012)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1911.11547 Zobrazit plný text záznamu View this record from Arxiv