LSTM-based Deep Learning Models for Answer Ranking-Reference-Cited by-同舟云学术

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LSTM-based Deep Learning Models for Answer Ranking

Published:2016-06 Issue: Volume: Page:
ISSN:
Container-title:2016 IEEE First International Conference on Data Science in Cyberspace (DSC)
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Author:

Li Zhenzhen,Huang Jiuming,Zhou Zhongcheng,Zhang Haoyu,Chang Shoufeng,Huang Zhijie

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7864767/7866072/07866113.pdf?arnumber=7866113

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predict The Number of Vaccinated People and Formulate Vaccine Distribution Strategy of COVID-19 Based on LSTM and Particle Swarm optimization;2022 6th International Conference on Universal Village (UV);2022-10-22

2. Hybrid Passage Retrieval Combing Neural and Symbolic Methods;The Journal of Korean Institute of Information Technology;2022-07-31

3. Answer selection in community question answering exploiting knowledge graph and context information;Semantic Web;2022-04-06

4. Passage Retrieval based on Word Importance using Query Expansion;The Journal of Korean Institute of Information Technology;2022-01-31

5. DSEORA: Integration of Deep Learning and Metaheuristics for Web Page Recommendation Based on Search Engine Optimization Ranking;Emerging Research in Computing, Information, Communication and Applications;2021-12-01

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