Novel fault location method for power systems based on attention mechanism and double structure GRU neural network
F Zhang, Q Liu, Y Liu, N Tong, S Chen, C Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
Fault location is one of the most essential techniques to maintain the stable operation of
power systems. A fast and accurate fault location allows operators to restore power grids …
power systems. A fast and accurate fault location allows operators to restore power grids …
A stacked BiLSTM neural network based on coattention mechanism for question answering
L Cai, S Zhou, X Yan, R Yuan - Computational intelligence and …, 2019 - Wiley Online Library
Deep learning is the crucial technology in intelligent question answering research tasks.
Nowadays, extensive studies on question answering have been conducted by adopting the …
Nowadays, extensive studies on question answering have been conducted by adopting the …
Intelligent question answering in restricted domains using deep learning and question pair matching
LQ Cai, M Wei, ST Zhou, X Yan - Ieee Access, 2020 - ieeexplore.ieee.org
With the rapid expansion of the Internet, intelligent question answering for information
retrieval has once again gained widespread attention. However, current question answering …
retrieval has once again gained widespread attention. However, current question answering …
Low complexity named-entity recognition for Indonesian language using BiLSTM-CNNs
Named-Entity Recognition (NER) is a fundamental task in Natural Language Processing
(NLP) and information extraction. NER is used to extract information such as names of the …
(NLP) and information extraction. NER is used to extract information such as names of the …
Semantic Improvement of Question-Answering System with Multi-Layer LSTM
Question answering (QA) is a popular method to extract information from a large pool of
data. However, effective feature extraction and semantic understanding, and interaction …
data. However, effective feature extraction and semantic understanding, and interaction …
ACA: Attention-Based Context-Aware Answer Selection System
K Sundarakantham, J Felicia Lilian… - … Intelligence and Signal …, 2020 - Springer
The main goal of question answering system is to develop chatbots capable of answering
the questions irrespective of the domain. The system has to provide appropriate answers …
the questions irrespective of the domain. The system has to provide appropriate answers …
Transfer Learning Using Bi-Lstm With Attention Mechanism On Stack Exchange Data
M Singh, R Tayal, M Shrivastava - … International Conference on …, 2019 - ieeexplore.ieee.org
Stack Exchange is a collection of diversity of topics from different fields which needs the
most dominant methods for tags prediction. In our work, we have opted to improve the …
most dominant methods for tags prediction. In our work, we have opted to improve the …
トピックモデルに基づく多様性を考慮した回答文書検索モデル
大川順也， 雲居玄道， 後藤正幸 - 経営情報学会誌, 2021 - jstage.jst.go.jp
J. Jpn. Soc. Manage. Info. 30(1): 31-46 (2021) Page 1 Journal of the Japan Society for
Management Information Vol. 30 No. 1, June 2021, pp. 31–46 £ ¢ ¡ 論 文 トピックモデルに基づく …
Management Information Vol. 30 No. 1, June 2021, pp. 31–46 £ ¢ ¡ 論 文 トピックモデルに基づく …
潜在的ディリクレ配分法を用いた問合せ文書と回答文書の関係分析モデルとその応用に関する一考察
大川順也， 雲居玄道， 後藤正幸 - 経営情報学会誌, 2020 - jstage.jst.go.jp
抄録 近年, 多くの企業で, システムやサービスに関する問合せをオンラインで受け付けるシステム
(質問応答システム (Question Answering (QA) systems)) が導入されている …
(質問応答システム (Question Answering (QA) systems)) が導入されている …