In this paper,we study the partial multi-label(PML)image classification problem,where each image is annotated with a candidate label set consisting of multiple relevant labels and other noisy labels.Existing PML metho...
This work was supported by the National Key R&D Program of China(No.2020YFC0832500);the Ministry of Education-China Mobile Research Foundation(No.MCM20170206);the Fundamental Research Funds for the Central Universities(Nos.lzujbky-2022-kb12,lzujbky-2021-sp43,lzujbky-2020-sp02,lzujbky-2019-kb51,and lzujbky-2018-k12);the National Natural Science Foundation of China(No.61402210);the Science and Technology Plan of Qinghai Province(No.2020-GX-164);the Google Research Awards and Google Faculty Award,the Provincial Science and Technology Plan(Major Science and Technology Projects-Open Solicitation)(No.22ZD6GA048);the Gansu Provincial Science and Technology Major Special Innovation Consortium Project(No.21ZD3GA002);the Gansu Province Green and Smart Highway Key Technology Research and Demonstration。
Sentence Boundary Disambiguation(SBD)is a preprocessing step for natural language processing.Segmenting text into sentences is essential for Deep Learning(DL)and pretraining language models.Tibetan punctuation marks m...
supported by the National Natural Science Foundation of China(62201398);Natural Science Foundation of Zhejiang Province(LY21F020001),Science and Technology Plan Project of Wenzhou(ZG2020026).
Active learning(AL)trains a high-precision predictor model from small numbers of labeled data by iteratively annotating the most valuable data sample from an unlabeled data pool with a class label throughout the learn...
supported by the National Natural Science Foundation of China(62176197,61806155);the National Natural Science Foundation of Shaanxi Province(2020GY-062).
Partial label learning aims to learn a multi-class classifier,where each training example corresponds to a set of candidate labels among which only one is correct.Most studies in the label space have only focused on t...
supported in part by the National Key R&D Program of China(No.2020AAA0106600);the Key Laboratory of Science,Technology and Standard in Press Industry(Key Laboratory of Intelligent Press Media Technology)
Entity Linking(EL)aims to automatically link the mentions in unstructured documents to corresponding entities in a knowledge base(KB),which has recently been dominated by global models.Although many global EL methods ...
supported by the National Key Research&Develop Plan of China under Grant Nos.2017YFB1400700 and 2018YFB1004401;the National Natural Science Foundation of China under Grant Nos.61732006,61702522,61772536,61772537,62076245,and 62072460;Beijing Natural Science Foundation under Grant No.4212022。
Partial label learning is a weakly supervised learning framework in which each instance is associated with multiple candidate labels,among which only one is the ground-truth label.This paper proposes a unified formula...
supported by the National Natural Science Foundation of China(Grant Nos.61672368,61373097,61672367,61331011);the Research Foundation of the Ministry of Education and China Mobile(MCM20150602);Natural Science Foundation of Jiangsu(BK20151222).
We study implicit discourse relation detection,which is one of the most challenging tasks in the field of discourse analysis.We specialize in ambiguous implicit discourse relation,which is an imperceptible linguistic ...
support from the US National Science Foundation under Award 1645237
Purpose: The ability to identify the scholarship of individual authors is essential for performance evaluation. A number of factors hinder this endeavor. Common and similarly spelled surnames make it difficult to isol...
supported by the National Natural Science Foundation of China(No.61772078);the Fundamental Research Funds for the Central Universities(No.TD2014-02);Beijing Undergraduate Training Programs for Innovation and Entrepreneurship(No.201610022063)
Named entity disambiguation is presented to solve the problem of name ambiguity. Traditional disambiguation methods merely use the word frequency to calculate the weights of attributes, yet ignore the important inform...
Project supported by the National Natural Science Foundation of China (No. 61572434), the China Knowledge Centre for Engineering Sciences and Technology (No. CKC-EST-2015-2-5), and the Specialized Research Fund for the Doctoral Program of Higher Education (SRFDP), China (No. 20130101110-136)
Entity recognition and disambiguation (ERD) is a crucial technique for knowledge base population and information extraction. In recent years, numerous papers have been published on this subject, and various ERD syst...