欢迎来到厦门大学自然语言处理实验室

自然语言处理实验室是厦门大学信息学院一支具有30多年研究历史的科研创新团队。团队面向信息社会中不同语言间的国内外交流的重大需求,以实现高度智能化的语言处理为目标,开展分词、命名实体识别、句法分析、多语词语对齐、语言模型、隐喻理解等基础研究,规则和统计相结合的机器翻译、辅助翻译、嵌入式翻译、新型语篇语义翻译模型、云翻译平台、神经机器翻译等机器翻译研究,知识图谱、信息抽取、关系和事件抽取、跨语言信息检索、舆情分析等网络信息处理应用基础研究。同时和外文系、中文系、两岸关系和平发展协创中心等单位有密切的交叉学科合作关系。目前团队的三个主要研究方向是多语种机器翻译、隐喻计算、信息抽取和检索。实验室现有全职研究人员9人,含教授1人,副教授4人,助理教授4人。

实验室与多个国内外研究机构和企业建立了良好的关系,开展了卓有成效的交流和合作。实验室希望与国内外同行一起努力,为自然语言处理和机器翻译领域的发展做出贡献!

最新新闻

2024/07/04 实验室1篇论文被ECAI 2024接收
2024/05/16 实验室2篇论文被Findings of ACL 2024接收
2024/02/20 实验室1篇论文被COLING 2024接收
2023/12/14 实验室2篇论文被ICASSP 2024接收
2023/12/09 实验室4篇论文被AAAI 2024接收
2023/11/03 实验室1篇论文被Neural Networks期刊接收
2023/10/08 实验室5篇论文被EMNLP 2023接收
2023/07/17 实验室的最新成果“Consistent Prototype Learning for Few-Shot Continual Relation Extraction”被ACL 2023收录为主会长文
2023/07/14 实验室提出学术论文自动审稿概念与体系的论文在Information Fusion发表
2023/05/02 实验室两篇论文被ACL 2023接收
2023/04/20 实验室两篇论文被IJCAI 2023接收
2023/03/13 实验室一篇论文被ICME 2023接收
2023/02/16 实验室两篇论文被ICASSP 2023接收
2022/11/19 实验室一篇论文被AAAI 2023接收
2022/10/06 实验室一篇论文被EMNLP 2022接收
2022/08/17 实验室一篇论文被COLING 2022接收
2022/02/24 实验室两篇论文被ACL 2022接收
2021/08/26 实验室一篇论文被EMNLP 2021接收
2021/01/08 北京航空航天大学郑志明院士受邀来厦门大学作“人工智能技术与进展“学术报告
2020/12/14 热烈祝贺我系陈毅东老师指导的作品斩获“华为杯”第二届中国研究生人工智能大赛全国总决赛大奖
2019/11/11 华为诺亚方舟实验室语音语义首席科学家刘群 应邀来校开展讲座
2019/11/10 天津大学熊德意教授及南京大学黄书剑副教授应邀来校开展学术讲座

代表论文

  • Meizhen Zheng+, Peng Bai+, Xiaodong Shi*, Xun Zhou, Yiting Yan. FT-GAN: Fine-grained Tune Modeling for Chinese Opera Synthesis. In Proc. of AAAI 2024. (CCF-A会议)
  • Rui Zhao+, Liang Zhang+, Biao Fu, Cong Hu, Jinsong Su, Yidong Chen*. Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment. In Proc. of AAAI 2024. (CCF-A会议)
  • Yafang Zheng+, Lei Lin+, Shuangto Li, Yuxuan Yuan, Zhaohong Lai, Shan Liu, Biao Fu, Yidong Chen, Xiaodong Shi*. Layer-wise Representation Fusion for Compositional Generalization. In Proc. of AAAI 2024. (CCF-A会议)
  • Anchun Gui, Jinqiang Ye, Han Xiao*. G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks. In Proc. of AAAI 2024. (CCF-A会议)
  • Hui Wu, Yuting He, Yidong Chen, Yu Bai, Xiaodong Shi*. Improving few-shot relation extraction through semantics-guided learning. Neural Networks (2023). (JCR Q1, IF 7.8)
  • Peng Bai+, Yue Zhou+, Meizhen Zheng, Wujin Sun, Xiaodong Shi*. Improving Chinese Pop Song and Hokkien Gezi Opera Singing Voice Synthesis by Enhancing Local Modeling. In Proc. of EMNLP 2023. (CCF-B会议)
  • Biao Fu+, Kai Fan+, Minpeng Liao+, Zhongqiang Huang*, Boxing Chen, Yidong Chen*, Xiaodong Shi. Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference. In Proc. of EMNLP 2023. (CCF-B会议)
  • Liang Zhang+, Chulun Zhou+, Fandong Meng, Jinsong Su*, Yidong Chen*, and Jie Zhou. HyperNetwork-based Decoupling to Improve Model Generalization for Few-Shot Relation Extraction. In Proc. of EMNLP 2023. (CCF-B会议)
  • Zhongjian Miao, Wen Zhang, Jinsong Su*, Xiang Li, Jian Luan, Yidong Chen*, Bin Wang, and Min Zhang. Exploring All-In-One Knowledge Distillation Framework for Neural Machine Translation. In Proc. of EMNLP 2023. (CCF-B会议)
  • Xiudi Chen, Hui Wu and Xiaodong Shi*. Consistent Prototype Learning for Few-Shot Continual Relation Extraction. In Proc. of ACL 2023. (CCF-A会议)
  • Anchun Gui and Han Xiao*. HiFi: High-Information Attention Heads Hold for Parameter-Efficient Model Adaptation. In Proc. of ACL 2023. (CCF-A会议)
  • Liang Zhang, Zijun Min, Jinsong Su*, Pei Yu, Ante Wang, and Yidong Chen*. Exploring Effective Inter-encoder Semantic Interaction for Document-Level Relation Extraction. In Proc. of IJCAI 2023. (CCF-A会议)
  • Pei Yu, Liang Zhang, Biao Fu, Yidong Chen*. Efficient Sign Language Translation with a Curriculum-based Non-autoregressive Decoder. In Proc. of IJCAI 2023. (CCF-A会议)
  • Liang Zhang, Jinsong Su, Min Zijun, Zhongjian Miao, Hu Qingguo, Biao Fu, Xiaodong Shi and *Yidong Chen. Exploring Self-distillation based Relational Reasoning Training for Document-level Relation Extraction. In Proc. of AAAI 2023. (CCF-A类会议)
  • Hui Wu and *Xiaodong Shi. Adversarial Soft Prompt Tuning for Cross-Domain Sentiment Analysis. In Proc. of ACL 2022. (CCF-A类会议)
  • Weijie Chen, Yongzhu Chang, Rongsheng Zhang, Jiashu Pu, Guandan Chen, Le Zhang, Yadong Xi, Yijiang Chen, and *Chang Su. Probing Simile Knowledge from Pre-trained Language Models. In Proc. of ACL 2022. (CCF-A类会议)