SLP-P9.5
BRIDGING THE GAP: A SELF-LEARNING MODEL USING IMPLICIT KNOWLEDGE FOR CHINESE SPELLING CORRECTION
Wenyao Cui, Jiahao Cai, Baohua Zhang, Yongyi Huang, Huaping Zhang, Beijing Institute of Technology, China
Session:
SLP-P9: Language resources, metrics and systems Poster
Track:
Speech and Language Processing
Location:
Poster Zone 1C
Poster Board PZ-1C.5
Poster Board PZ-1C.5
Presentation Time:
Wed, 17 Apr, 13:10 - 15:10 (UTC +9)
Session SLP-P9
SLP-P9.1: S-Evaluator: Enhance Factual Consistency Evaluator with Adversarial Data Synthesized by Large Language Model
Junnan Liu, Wenlong Du, Qingquan Li, Xuewei Wang, Zhongjun Zhou, Jin Liu, Ant Group, China
SLP-P9.2: CAN CHATGPT SERVE AS A MULTI-CRITERIA DECISION MAKER? A NOVEL APPROACH TO SUPPLIER EVALUATION
Xihui Wang, Beihang University, China; Xiaojun Wu, Peking University, China
SLP-P9.3: TEXTROLSPEECH: A TEXT STYLE CONTROL SPEECH CORPUS WITH CODEC LANGUAGE TEXT-TO-SPEECH MODELS
Shengpeng Ji, Jialong Zuo, zhejiang university, China; Minghui Fang, zhejiang University, China; Ziyue Jiang, zhejiang university, China; Feiyang Chen, Xinyu Duan, Baoxing Huai, Huawei Cloud, China; Zhou Zhao, zhejiang university, China
SLP-P9.4: COMMUNICATION-ORIENTED AUTOMATIC ASSESSMENT SYSTEM FOR ACCENTED SPOKEN CHINESE IN READ-ALOUD TASKS
Huazhen Wang, Huan Wang, Jianguo Chen, Shiyue Zhu, Hao Zhou, Yifei Zhao, Huaqiao University, China
SLP-P9.5: BRIDGING THE GAP: A SELF-LEARNING MODEL USING IMPLICIT KNOWLEDGE FOR CHINESE SPELLING CORRECTION
Wenyao Cui, Jiahao Cai, Baohua Zhang, Yongyi Huang, Huaping Zhang, Beijing Institute of Technology, China
SLP-P9.6: BOOSTING LLMS WITH ONTOLOGY-AWARE PROMPT FOR NER DATA AUGMENTATION
Zhizhao Luo, Youchen Wang, Beijing Institute of Computer Technology and Application, China; Wenjun Ke, Southeast University, China; Rui Qi, China Life Property & Casualty Insurance Company Limited, China; Yikai Guo, Beijing Institute of Computer Technology and Application, China; Peng Wang, Southeast University, China
SLP-P9.7: Leveraging Visual Handicaps for Text-based Reinforcement Learning
Subhajit Chaudhury, Keerthiram Murugesan, IBM Research, United States of America; Thomas Carta, INRIA, France; Kartik Talamadupula, Symbl.ai, United States of America; Michiaki Tatsubori, IBM Research, Japan
SLP-P9.8: NEW INTENT DISCOVERY WITH MULTI-VIEW CLUSTERING
Han Liu, Junjie Sun, Xiaotong Zhang, Dalian University of Technology, China; Hongyang Chen, Zhejiang Lab, China
SLP-P9.9: AUTOMATIC DESIGN OF ADAPTER ARCHITECTURES FOR ENHANCED PARAMETER-EFFICIENT FINE-TUNING
Siya Xu, Xinyan Wen, Beijing University of Posts and Telecommunications, China
SLP-P9.10: ARE DEEP NEURAL NETWORKS ROBUST TO NAMED ENTITIES? AN ADVERSARIAL ATTACK AND DEFENSE PERSPECTIVE
Hongtao Wang, North China Electric Power University, China; Ang Li, Harbin Institute of Technology (Shenzhen), China
Contacts