A Topic-aware Summarization Framework with Different Modal Side Information
Author:
Affiliation:
1. KAUST, Jeddah, Saudi Arabia
2. Ant Group, Beijing, China
3. Shandong university, Qingdao, China
4. Peking University, Beijing, China
5. University of Notre Dame & KAUST, Notre Dame, IL, USA
Funder
KAUST
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3539618.3591630
Reference58 articles.
1. Enhancing Scientific Papers Summarization with Citation Graph
2. Jimmy Lei Ba , Jamie Ryan Kiros, and Geoffrey E Hinton . 2016 . Layer normalization. arXiv preprint arXiv:1607.06450 (2016). Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton. 2016. Layer normalization. arXiv preprint arXiv:1607.06450 (2016).
3. Simulating CLIR Translation Resource Scarcity using High-resource Languages
4. Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations
5. Hengyi Cai Hongshen Chen Yonghao Song Zhuoye Ding Yongjun Bao Weipeng Yan and Xiaofang Zhao. 2020. Group-wise Contrastive Learning for Neural Dialogue Generation. In EMNLP. Hengyi Cai Hongshen Chen Yonghao Song Zhuoye Ding Yongjun Bao Weipeng Yan and Xiaofang Zhao. 2020. Group-wise Contrastive Learning for Neural Dialogue Generation. In EMNLP.
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