Results 131 to 140 of about 132,085 (327)
• Introduction: Database evaluation indicators include management, content, technical, and search indicators. A database must have a high level of information retrieval. As search features is one of the most important factors in database evaluation, this
Shahin Mojiri+2 more
doaj
ChatGPT in ESL Higher Education: Enhancing Writing, Engagement, and Learning Outcomes
Artificial intelligence (AI) in education has become increasingly common in higher education, particularly in learning English as a second language (ESL).
Promethi Das Deep+3 more
doaj +1 more source
How parties can shape their competence reputations: Issue attention, position and performance
Abstract Issue ownership is an important determinant of the vote, and it is electorally beneficial for parties to build a strong reputation on their core issues. Even though issue ownership has already been studied extensively in the party literature, we know less about how citizens form ownership perceptions.
DIETER STIERS, RUTH DASSONNEVILLE
wiley +1 more source
The article represents the survey results of 68 central libraries, and reveals two key aspects of local studies: an attitude to norms formulated by the «Guidelines to Local Studies Activity of the Central Library of a Subject of the RF» (2003), and ...
N. M. Balatskaya, M. B. Martirosova
doaj +1 more source
Vast amount of multimedia data contains massive and multifarious social information which is used to construct large-scale social networks. In a complex social network, a character should be ideally denoted by one and only one vertex.
Jun Long+4 more
doaj +1 more source
Efficient Analysis of Pattern and Association Rule Mining Approaches
The process of data mining produces various patterns from a given data source. The most recognized data mining tasks are the process of discovering frequent itemsets, frequent sequential patterns, frequent sequential rules and frequent association rules.
Lazzez, Amor, Slimani, Thabet
core +1 more source
The Earth is Flat? Unveiling Factual Errors in Large Language Models [PDF]
Large Language Models (LLMs) like ChatGPT are foundational in various applications due to their extensive knowledge from pre-training and fine-tuning. Despite this, they are prone to generating factual and commonsense errors, raising concerns in critical areas like healthcare, journalism, and education to mislead users.
arxiv
Abstract In mid‐eighteenth‐century Europe, anonymous authors produced parodic satires masquerading as earnest exemplars of the chronicle form. Couched in an antiquated, quasi‐biblical register, these mock chronicles drew flimsily fictional portraits of modern life.
Zachary Garber
wiley +1 more source
Artequakt: Generating tailored biographies from automatically annotated fragments from the web [PDF]
The Artequakt project seeks to automatically generate narrativebiographies of artists from knowledge that has been extracted from the Web and maintained in a knowledge base.
Alani, Harith+6 more
core
Hybrid Querying Over Relational Databases and Large Language Models [PDF]
Database queries traditionally operate under the closed-world assumption, providing no answers to questions that require information beyond the data stored in the database. Hybrid querying using SQL offers an alternative by integrating relational databases with large language models (LLMs) to answer beyond-database questions.
arxiv