TY - GEN
T1 - Streamlined decoder for Chinese spoken language understanding
AU - Yang, Puhai
AU - Huang, Heyan
AU - Mao, Xian Ling
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/10/14
Y1 - 2019/10/14
N2 - As a critical component of Spoken Dialog System (SDS), spoken language understanding (SLU) attracts a lot of attention, especially for methods based on unaligned data. Recently, a new approach has been proposed that utilizes the hierarchical relationship between act-slot-value triples. However, it ignores the transfer of internal information which may record the intermediate information of the upper level and contribute to the prediction of the lower level. So, we propose a novel streamlined decoding structure with attention mechanism, which uses three successively connected RNN to decode act, slot and value respectively. On the first Chinese Audio-Textual Spoken Language Understanding Challenge (CATSLU), our model exceeds state-of-the-art model on an unaligned multi-turn task-oriented Chinese spoken dialogue dataset provided by the contest.
AB - As a critical component of Spoken Dialog System (SDS), spoken language understanding (SLU) attracts a lot of attention, especially for methods based on unaligned data. Recently, a new approach has been proposed that utilizes the hierarchical relationship between act-slot-value triples. However, it ignores the transfer of internal information which may record the intermediate information of the upper level and contribute to the prediction of the lower level. So, we propose a novel streamlined decoding structure with attention mechanism, which uses three successively connected RNN to decode act, slot and value respectively. On the first Chinese Audio-Textual Spoken Language Understanding Challenge (CATSLU), our model exceeds state-of-the-art model on an unaligned multi-turn task-oriented Chinese spoken dialogue dataset provided by the contest.
KW - Attention mechanisms
KW - Long short term memory networks
KW - Pointer network
KW - Spoken dialog system
KW - Spoken language understanding
KW - Streamlined decoder
UR - http://www.scopus.com/inward/record.url?scp=85074933948&partnerID=8YFLogxK
U2 - 10.1145/3340555.3356097
DO - 10.1145/3340555.3356097
M3 - Conference contribution
AN - SCOPUS:85074933948
T3 - ICMI 2019 - Proceedings of the 2019 International Conference on Multimodal Interaction
SP - 516
EP - 520
BT - ICMI 2019 - Proceedings of the 2019 International Conference on Multimodal Interaction
A2 - Gao, Wen
A2 - Ling Meng, Helen Mei
A2 - Turk, Matthew
A2 - Fussell, Susan R.
A2 - Schuller, Bjorn
A2 - Schuller, Bjorn
A2 - Song, Yale
A2 - Yu, Kai
PB - Association for Computing Machinery, Inc
T2 - 21st ACM International Conference on Multimodal Interaction, ICMI 2019
Y2 - 14 October 2019 through 18 October 2019
ER -