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Modal Contrastive Learning Based End-to-End Text Image Machine Translation 期刊论文
IEEE/ACM Transactions on Audio, Speech, and Language Processing (IEEE/ACM TASLP), 2023, 卷号: 32, 期号: 32, 页码: 2153-2165
作者:  Ma, Cong;  Han, Xu;  Wu, Linghui;  Zhang, Yaping;  Zhao, Yang;  Zhou, Yu;  Zong, Chengqing
Adobe PDF(6551Kb)  |  收藏  |  浏览/下载：20/9  |  提交时间：2024/06/26
Transformers  Machine translation  Decoding  Semantics  Pipelines  Text recognition  Task analysis  Text image machine translation  contrastive learning  text image recognition  machine translation  
Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models 会议论文
Proceedings of Interspeech 2021, Brno, Czechia, 2021-08-30 - 2021-09-03
作者:  Lin, Haitao;  Xiang, Lu;  Zhou, Yu;  Zhang, Jiajun;  Zong, Chengqing
Adobe PDF(222Kb)  |  收藏  |  浏览/下载：139/58  |  提交时间：2023/06/13
CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization 会议论文
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Online and Punta Cana, Dominican Republic, 2021-11-07 - 2021-11-11
作者:  Lin, Haitao;  Ma, Liqun;  Zhu, Junnan;  Xiang, Lu;  Zhou, Yu;  Zhang, Jiajun;  Zong, Chengqing
Adobe PDF(491Kb)  |  收藏  |  浏览/下载：143/39  |  提交时间：2023/06/13
Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions 会议论文
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland, 2022-05-22 - 2022-05-27
作者:  Lin, Haitao;  Zhu, Junnan;  Xiang, Lu;  Zhou, Yu;  Zhang, Jiajun;  Zong, Chengqing
Adobe PDF(889Kb)  |  收藏  |  浏览/下载：173/70  |  提交时间：2023/06/13
Topic-Oriented Dialogue Summarization 期刊论文
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023, 卷号: 31, 页码: 1797 - 1810
作者:  Lin, Haitao;  Zhu, Junnan;  Xiang, Lu;  Zhai, Feifei;  Zhou, Yu;  Zhang, Jiajun;  Zong, Chengqing
Adobe PDF(3037Kb)  |  收藏  |  浏览/下载：239/88  |  提交时间：2023/06/13
dialogue summarization  abstractive summarization  controllable text generation  natural language processing  
Zero-shot language extension for dialogue state tracking via pre-trained models and multi-auxiliary-tasks fine-tuning 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 259, 页码: 14
作者:  Xiang, Lu;  Zhao, Yang;  Zhu, Junnan;  Zhou, Yu;  Zong, Chengqing
收藏  |  浏览/下载：158/0  |  提交时间：2023/03/20
Dialogue state tracking  Zero -shot language extension  Multilingual DST  Pre -trained models  Multi -auxiliary -tasks fine-tuning  
One-Shot Relation Learning for Knowledge Graphs via Neighborhood Aggregation and Paths Encoding 期刊论文
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2022, 卷号: 21, 期号: 3, 页码: 19
作者:  Sun, Jian;  Zhou, Yu;  Zong, Chengqing
Adobe PDF(1897Kb)  |  收藏  |  浏览/下载：279/62  |  提交时间：2022/06/10
One-shot learning  relation learning  knowledge graph completion  
Robust Cross-lingual Task-oriented Dialogue 期刊论文
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2021, 卷号: 20, 期号: 6, 页码: 24
作者:  Xiang, Lu;  Zhu, Junnan;  Zhao, Yang;  Zhou, Yu;  Zong, Chengqing
Adobe PDF(1935Kb)  |  收藏  |  浏览/下载：299/70  |  提交时间：2021/12/28
Cross-lingual  dialogue system  adversarial learning  knowledge  robustness  
Graph-based Multimodal Ranking Models for Multimodal Summarization 期刊论文
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2021, 卷号: 20, 期号: 4, 页码: 21
作者:  Zhu, Junnan;  Xiang, Lu;  Zhou, Yu;  Zhang, Jiajun;  Zong, Chengqing
Adobe PDF(4193Kb)  |  收藏  |  浏览/下载：317/66  |  提交时间：2021/12/28
Multimodal summarization  single-modal  multimodal ranking  unsupervised  
Medical Term and Status Generation From Chinese Clinical Dialogue With Multi-Granularity Transformer 期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2021, 卷号: 29, 页码: 3362-3374
作者:  Li, Mei;  Xiang, Lu;  Kang, Xiaomian;  Zhao, Yang;  Zhou, Yu;  Zong, Chengqing
Adobe PDF(3036Kb)  |  收藏  |  浏览/下载：309/71  |  提交时间：2021/12/28
Medical diagnostic imaging  Transformers  Task analysis  Medical services  Computational modeling  Semantics  Data mining  Medical dialogue  multi-granularity  attention mechanism  natural language understanding  sequence to sequence learning