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%0 Conference Proceedings
%T Combining Hybrid Attention Networks and LSTM for Stock Trend Prediction
%A Liu, Hsin-Wen
%A Wang, Jenq-Haur
%Y Wang, Jenq-Haur
%Y Lai, Ying-Hui
%S Proceedings of the 32nd Conference on Computational Linguistics and Speech Processing (ROCLING 2020)
%D 2020
%8 September
%I The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
%C Taipei, Taiwan
%F liu-wang-2020-combining
%U https://aclanthology.org/2020.rocling-1.28
%P 304-318

Markdown (Informal)

[Combining Hybrid Attention Networks and LSTM for Stock Trend Prediction](https://aclanthology.org/2020.rocling-1.28) (Liu & Wang, ROCLING 2020)

• Combining Hybrid Attention Networks and LSTM for Stock Trend Prediction (Liu & Wang, ROCLING 2020)

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).