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CASIA OpenIR
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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：194/78  |  提交时间：2023/06/13
dialogue summarization  abstractive summarization  controllable text generation  natural language processing  
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：228/52  |  提交时间：2022/06/10
One-shot learning  relation learning  knowledge graph completion  
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：98/45  |  提交时间：2023/06/13
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：251/56  |  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  
Structurally Comparative Hinge Loss for Dependency-Based Neural Text Representation 期刊论文
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2020, 期号: 4, 页码: 19
作者:  Wang, Kexin;  Zhou, Yu;  Zhang, Jiajun;  Wang, Shaonan;  Zong, Chengqing
浏览  |  Adobe PDF(1553Kb)  |  收藏  |  浏览/下载：285/89  |  提交时间：2020/06/10
Text representation  graph convolutional networks  loss function