Overview of the NLPCC 2018 Shared Task: Spoken Language Understanding in Task-Oriented Dialog Systems

2018 ◽  
pp. 468-478 ◽  
Author(s):  
Xuemin Zhao ◽  
Yunbo Cao
Keyword(s):  
Spoken Language ◽  
Shared Task ◽  
Language Understanding ◽  
Dialog Systems ◽  
Spoken Language Understanding ◽  
Task Oriented

scholarly journals Slot Tagging for Task Oriented Spoken Language Understanding in Human-to-Human Conversation Scenarios

2019 ◽  
Author(s):  
Kunho Kim ◽  
Rahul Jha ◽  
Kyle Williams ◽  
Alex Marin ◽  
Imed Zitouni
Keyword(s):  
Spoken Language ◽  
Language Understanding ◽  
Spoken Language Understanding ◽  
Task Oriented

scholarly journals Joint Model-Based Attention for Spoken Language Understanding Task

2020 ◽  
Vol 12 (4) ◽  
pp. 32-43
Author(s):  
Xin Liu ◽  
RuiHua Qi ◽  
Lin Shao
Keyword(s):  
Contextual Information ◽  
Spoken Language ◽  
Joint Model ◽  
Shared Task ◽  
Global Features ◽  
Language Understanding ◽  
Spoken Language Understanding ◽  
Model Based ◽  
Sentence Level ◽  
Slot Filling

Intent determination (ID) and slot filling (SF) are two critical steps in the spoken language understanding (SLU) task. Conventionally, most previous work has been done for each subtask respectively. To exploit the dependencies between intent label and slot sequence, as well as deal with both tasks simultaneously, this paper proposes a joint model (ABLCJ), which is trained by a united loss function. In order to utilize both past and future input features efficiently, a joint model based Bi-LSTM with contextual information is employed to learn the representation of each step, which are shared by two tasks and the model. This paper also uses sentence-level tag information learned from a CRF layer to predict the tag of each slot. Meanwhile, a submodule-based attention is employed to capture global features of a sentence for intent classification. The experimental results demonstrate that ABLCJ achieves competitive performance in the Shared Task 4 of NLPCC 2018.

scholarly journals Review of Research on Task-Oriented Spoken Language Understanding

2019 ◽  
Vol 1267 ◽  
pp. 012023
Author(s):  
Lixian Hou ◽  
Yanling Li ◽  
Chengcheng Li ◽  
Min Lin
Keyword(s):  
Spoken Language ◽  
Language Understanding ◽  
Spoken Language Understanding ◽  
Task Oriented

Integrating Syntax and Semantics into Spoken Language Understanding

1991 ◽  
Author(s):  
Lynette Hirschman ◽  
Stephanie Seneff ◽  
David Goodine ◽  
Michael Phillips
Keyword(s):  
Spoken Language ◽  
Language Understanding ◽  
Spoken Language Understanding

Spoken Language Understanding using Pretraining Technique

2020 ◽  
Author(s):  
Saad Ghojaria ◽  
Rahul Kotian ◽  
Yash Sawant ◽  
Suresh Mestry
Keyword(s):  
Spoken Language ◽  
Language Understanding ◽  
Spoken Language Understanding

End-to-End Memory Networks with Knowledge Carryover for Multi-Turn Spoken Language Understanding

2016 ◽  
Author(s):  
Yun-Nung Chen ◽  
Dilek Hakkani-Tür ◽  
Gokhan Tur ◽  
Jianfeng Gao ◽  
Li Deng
Keyword(s):  
Spoken Language ◽  
Language Understanding ◽  
Spoken Language Understanding ◽  
End To End
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