Combining Hybrid Attention Networks and LSTM for Stock Trend Prediction

Hsin-Wen Liu, Jenq-Haur Wang


Anthology ID:
2020.rocling-1.28
Volume:
Proceedings of the 32nd Conference on Computational Linguistics and Speech Processing (ROCLING 2020)
Month:
September
Year:
2020
Address:
Taipei, Taiwan
Editors:
Jenq-Haur Wang, Ying-Hui Lai
Venue:
ROCLING
SIG:
Publisher:
The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Note:
Pages:
304–318
Language:
URL:
https://aclanthology.org/2020.rocling-1.28
DOI:
Bibkey:
Cite (ACL):
Hsin-Wen Liu and Jenq-Haur Wang. 2020. Combining Hybrid Attention Networks and LSTM for Stock Trend Prediction. In Proceedings of the 32nd Conference on Computational Linguistics and Speech Processing (ROCLING 2020), pages 304–318, Taipei, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
Cite (Informal):
Combining Hybrid Attention Networks and LSTM for Stock Trend Prediction (Liu & Wang, ROCLING 2020)
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PDF:
https://aclanthology.org/2020.rocling-1.28.pdf