Zobrazeno 1 - 10
of 84
pro vyhledávání: '"XIAN-LING MAO"'
Autor:
TIAN LAN1 lantiangmftby@gmail.com, XIAN-LING MAO1 maoxl@bit.edu.cn, WEI WEI2 weiw@hust.edu.cn, XIAOYAN GAO3 gaoxiaoyan@bjut.edu.cn, HEYAN HUANG1 hhy63@bit.edu.cn
Publikováno v:
ACM Transactions on Information Systems. Mar2024, Vol. 42 Issue 2, p1-32. 32p.
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 22:1-18
Neural variational inference-based topic modeling has gained great success in mining abstract topics from documents. However, these topic models usually mainly focus on optimizing the topic proportions for documents, while the quality and the interna
Publikováno v:
ACM Transactions on Information Systems. 41:1-23
Relation ties, defined as the correlation and mutual exclusion between different relations, are critical for distant supervised relation extraction. Previous studies usually obtain this property by greedily learning the local connections between rela
Publikováno v:
IEEE Transactions on Multimedia. :1-12
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. :1-14
Publikováno v:
Neurocomputing. 501:14-24
Existing online recruitment platforms depend on automatic ways of conducting the person-job fit, whose goal is matching appropriate job seekers with job positions. Intuitively, the previous successful recruitment records contain important information
Publikováno v:
Information Sciences. 584:170-183
Food recommendation has attracted increasing attentions to various food-related applications and services. The food recommender models aim to match users’ preferences with recipes, where the key lies in the representation learning of users and reci
Publikováno v:
Information Sciences. 584:269-279
Distant supervised relation extraction is an efficient strategy of finding relational facts from unstructured text without labeled training data. A recent paradigm to develop relation extractors is using pre-trained Transformer language models to pro
Autor:
Rong-Cheng Tu, Xian-Ling Mao, Rong-Xin Tu, Binbin Bian, Chengfei Cai, Hongfa wang, Wei Wei, Heyan Huang
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-13
Publikováno v:
IEEE Transactions on Multimedia. :1-14