A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding

Libo Qin, Wanxiang Che, Yangming Li, Haoyang Wen, Ting Liu

Abstract
Intent detection and slot filling are two main tasks for building a spoken language understanding (SLU) system. The two tasks are closely tied and the slots often highly depend on the intent. In this paper, we propose a novel framework for SLU to better incorporate the intent information, which further guiding the slot filling. In our framework, we adopt a joint model with Stack-Propagation which can directly use the intent information as input for slot filling, thus to capture the intent semantic knowledge. In addition, to further alleviate the error propagation, we perform the token-level intent detection for the Stack-Propagation framework. Experiments on two publicly datasets show that our model achieves the state-of-the-art performance and outperforms other previous methods by a large margin. Finally, we use the Bidirectional Encoder Representation from Transformer (BERT) model in our framework, which further boost our performance in SLU task.
Anthology ID:
D19-1214
Volume:
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
Month:
November
Year:
2019
Address:
Hong Kong, China
Editors:
Kentaro Inui, Jing Jiang, Vincent Ng, Xiaojun Wan
Venues:
EMNLP | IJCNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
2078–2087
Language:
URL:
https://aclanthology.org/D19-1214
DOI:
10.18653/v1/D19-1214
Bibkey:
Cite (ACL):
Libo Qin, Wanxiang Che, Yangming Li, Haoyang Wen, and Ting Liu. 2019. A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 2078–2087, Hong Kong, China. Association for Computational Linguistics.
Cite (Informal):
A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding (Qin et al., EMNLP-IJCNLP 2019)
Copy Citation:
PDF:
https://preview.aclanthology.org/emnlp-22-attachments/D19-1214.pdf
Code
 LeePleased/StackPropagation-SLU +  additional community code
Data
ATIS, SNIPS
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