SLP-L22: Segmentation, tagging, and parsing of language
Thu, 18 Apr, 13:10 - 15:10 (UTC +9)
Location: Room 101
Session Type: Lecture
Session Co-Chairs: Hung-yi Lee, National Taiwan University and Kartik Audhkhasi, Google
Track: Speech and Language Processing
Click the to view the manuscript on IEEE Xplore Open Preview
Thu, 18 Apr, 13:10 - 13:30 (UTC +9)
 

SLP-L22.1: In-Context Learning for Few-Shot Nested Named Entity Recognition
Meishan Zhang, Bin Wang, Harbin Institute of Technology (Shenzhen), China; Hao Fei, National University of Singapore, Singapore; Min Zhang, Harbin Institute of Technology (Shenzhen), China
Thu, 18 Apr, 13:30 - 13:50 (UTC +9)
 

SLP-L22.2: LLET: LIGHTWEIGHT LEXICON-ENHANCED TRANSFORMER FOR CHINESE NER
Zongcheng Ji, PAII Inc., United States of America; Yinlong Xiao, Beijing University of Technology, United States of America
Thu, 18 Apr, 13:50 - 14:10 (UTC +9)
 

SLP-L22.3: DUST: DUAL-GRAINED SYNTAX-AWARE TRANSFORMER NETWORK FOR CHINESE NAMED ENTITY RECOGNITION
Yinlong Xiao, Beijing University of Technology, China; Zongcheng Ji, PAII Inc., United States of America; Jianqiang Li, Beijing University of Technology, China
Thu, 18 Apr, 14:10 - 14:30 (UTC +9)
 

SLP-L22.4: MULTI-TASK LEARNING FOR FRONT-END TEXT PROCESSING IN TTS
Wonjune Kang, Massachusetts Institute of Technology, United States of America; Yun Wang, Shun Zhang, Arthur Hinsvark, Qing He, AI at Meta, United States of America
Thu, 18 Apr, 14:30 - 14:50 (UTC +9)
 

SLP-L22.5: AN ANCHOR LEARNING APPROACH FOR CITATION FIELD LEARNING
Zilin Yuan, Tsinghua University, China; Borun Chen, Meituan, China; Yimeng Dai, sapia.ai, Australia; Yinghui Li, Hai-Tao Zheng, Tsinghua University, China; Rui Zhang, www.ruizhang.info, China
Thu, 18 Apr, 14:50 - 15:10 (UTC +9)
 

SLP-L22.6: SEGLLM: TOPIC-ORIENTED CALL SEGMENTATION VIA LLM-BASED CONVERSATION SYNTHESIS
Itzik Malkiel, Uri Alon, Microsoft, Israel; Yakir Yehuda, Microsoft/Technion, Israel; Shahar Keren, Microsoft, Israel; Oren Barkan, The Open University, Israel; Royi Ronen, Noam Koenigstein, Microsoft, Israel