supported by the National Natural Science Foundation of China(Grant Nos.U21B2027,U23A20388,62266028);the Yunnan Provincial Major Science and Technology Special Plan Projects(202302AD080003,202202AD080003,202303AP140008);the Yunnan Fundamental Research Projects(202301AS070047);the Kunming University of Science and Technology’s”Double First-rate”Construction Joint Project(202201BE070001-021).
1 Introduction Document-level Role Filler Extraction aims to identify those spans of text that denote the role fillers for each event described in the document[1].Despite achieving certain accomplishments,existing met...
Efficient data management in healthcare is essential for providing timely and accurate patient care, yet traditional partitioning methods in relational databases often struggle with the high volume, heterogeneity, and...
Conceptualizations of empathy have been most fully developed in a variety of fields in recent years.Many approaches to empathy dwell on the cognitive,affective,and behavioral aspects,the intra-psychic processes that c...
funding from Key Areas Science and Technology Research Plan of Xinjiang Production And Construction Corps Financial Science and Technology Plan Project under Grant Agreement No.2023AB048 for the project:Research and Application Demonstration of Data-driven Elderly Care System.
In recent years,with the rapid development of deep learning technology,relational triplet extraction techniques have also achieved groundbreaking progress.Traditional pipeline models have certain limitations due to er...
The proliferation of internet traffic encryption has become a double-edged sword. While it significantly enhances user privacy, it also inadvertently shields cyber-attacks from detection, presenting a formidable chall...
supported in part by National Key R&D Program of China(Grant No.2022YFB2902002);National Natural Science Foundation of China(Grant No.62271024)。
Deep reinforcement learning for resource allocation has been investigated extensively owing to its ability of handling model-free and end-to-end problems.However,its slow convergence and high time complexity during on...
funded by the Youth Fund of the National Natural Science Foundation of China(Grant No.42261070).
Spectrum-based fault localization (SBFL) generates a ranked list of suspicious elements by using the program execution spectrum, but the excessive number of elements ranked in parallel results in low localization accu...
In child psychiatry, the use of play, a habitual activity in children, is used as a means of communication and therapy. The psychodynamic reading of a sequence of games played by a three-year-old child with dolls, who...
Credit risk prediction for small and medium enterprises(SMEs)has long posed a complex research challenge.Traditional approaches have primarily focused on enterprise-specific variables,but these models often prove inad...
Text classification,by automatically categorizing texts,is one of the foundational elements of natural language processing applications.This study investigates how text classification performance can be improved throu...