SLP-L11.3
Feature Mixing-based Active Learning for Multi-label Text Classification
Xue Han, Qing Wang, Yitong Wang, China Mobile Research Institute, China; Jiahui Wang, Northeastern University, China; Chao Deng, Junlan Feng, China Mobile Research Institute, China
Session:
SLP-L11: Machine learning methods for language Lecture
Track:
Speech and Language Processing
Location:
Room E2
Presentation Time:
Wed, 17 Apr, 09:00 - 09:20 (UTC +9)
Session Co-Chairs:
Weiran Wang, Google and Bin Ma, Alibaba
Session SLP-L11
SLP-L11.1: Language Model is a Branch Predictor for Simultaneous Machine Translation
Aoxiong Yin, Tianyun Zhong, Haoyuan Li, Siliang Tang, Zhou Zhao, zhejiang university, China
SLP-L11.2: UNSUPERVISED TOPIC-CONDITIONAL EXTRACTIVE SUMMARIZATION
Itzik Malkiel, Microsoft, Israel; Yakir Yehuda, Microsoft/Technion, Israel; Jonathan Ephrath, Microsoft, Israel; Ori Kats, Technion, Israel; Oren Barkan, The Open University, Israel; Nir Nice, Noam Koenigstein, Microsoft, Israel
SLP-L11.3: Feature Mixing-based Active Learning for Multi-label Text Classification
Xue Han, Qing Wang, Yitong Wang, China Mobile Research Institute, China; Jiahui Wang, Northeastern University, China; Chao Deng, Junlan Feng, China Mobile Research Institute, China
SLP-L11.4: IMPROVING MEDICAL DIALOGUE GENERATION WITH ABSTRACT MEANING REPRESENTATIONS
Bohao Yang, The University of Manchester, United Kingdom of Great Britain and Northern Ireland; Chen Tang, University of Surrey, United Kingdom of Great Britain and Northern Ireland; Chenghua Lin, The University of Manchester, United Kingdom of Great Britain and Northern Ireland
SLP-L11.6: Recovering from Privacy-Preserving Masking with Large Language Models
Arpita Vats, Santa Clara University, United States of America; Zhe Liu, Peng Su, Debjyoti Paul, Yingyi Ma, Yutong Pang, Zeeshan Ahmed, Ozlem Kalinli, Meta, United States of America
Contacts