A Factored Discriminative Spoken Language Understanding for Spoken Dialogue Systems

Author(s):  
Filip Jurčíček ◽  
Ondřej Dušek ◽  
Ondřej Plátek
2021 ◽  
pp. 1-14
Author(s):  
Zixian Feng ◽  
Caihai Zhu ◽  
Weinan Zhang ◽  
Zhigang Chen ◽  
Wanxiang Che ◽  
...  

There is a growing interest in developing human-computer dialogue systems which is an important branch in the field of artificial intelligence (AI). However, the evaluation of large-scale Chinese human-computer dialogues is still a challenging task. To attract more attention to dialogue evaluation work, we held the fourth Evaluation of Chinese Human-Computer Dialogue Technology (ECDT). It consists of few-shot learning in spoken language understanding (SLU) (Task 1) and knowledge-driven multi-turn dialogue competition (Task 2), the data sets of which are provided by Harbin Institute of Technology and Tsinghua University. In this paper, we will introduce the evaluation tasks and data sets in detail. Meanwhile, we will also analyze the evaluation results and the existing problems in the evaluation.


2014 ◽  
Author(s):  
Ioannis Klasinas ◽  
Elias Iosif ◽  
Katerina Louka ◽  
Alexandros Potamianos

1991 ◽  
Author(s):  
Lynette Hirschman ◽  
Stephanie Seneff ◽  
David Goodine ◽  
Michael Phillips

2020 ◽  
Author(s):  
Saad Ghojaria ◽  
Rahul Kotian ◽  
Yash Sawant ◽  
Suresh Mestry

Author(s):  
Yun-Nung Chen ◽  
Dilek Hakkani-Tür ◽  
Gokhan Tur ◽  
Jianfeng Gao ◽  
Li Deng

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