Artificial intelligence to automate the systematic review of scientific literature
نویسندگان
چکیده
Abstract Artificial intelligence (AI) has acquired notorious relevance in modern computing as it effectively solves complex tasks traditionally done by humans. AI provides methods to represent and infer knowledge, efficiently manipulate texts learn from vast amount of data. These characteristics are applicable many activities that human find laborious or repetitive, is the case analysis scientific literature. Manually preparing writing a systematic literature review (SLR) takes considerable time effort, since requires planning strategy, conducting search analysis, reporting findings. Depending on area under study, number papers retrieved can be hundreds thousands, meaning filtering those relevant ones extracting key information becomes costly error-prone process. However, some involved repetitive and, therefore, subject automation means AI. In this paper, we present survey techniques proposed last 15 years help researchers conduct analyses We describe currently supported, types algorithms applied, available tools 34 primary studies. This also historical perspective evolution field role humans play an increasingly automated SLR
منابع مشابه
from linguistics to literature: a linguistic approach to the study of linguistic deviations in the turkish divan of shahriar
chapter i provides an overview of structural linguistics and touches upon the saussurean dichotomies with the final goal of exploring their relevance to the stylistic studies of literature. to provide evidence for the singificance of the study, chapter ii deals with the controversial issue of linguistics and literature, and presents opposing views which, at the same time, have been central to t...
15 صفحه اولUsing artificial intelligence planning to automate science image data analysis
In recent times, improvements in imaging technology have made available an incredible array of dormation in image format. While powerful and sophisticated image processing software tools are available to prepare and analyze the data, these tools are complex and cumbersome, requiring significant expertise to properly operate. Thus, in order to extract (e.g., mine or analyze) useful information f...
متن کاملTesting scientific software: A systematic literature review
CONTEXT Scientific software plays an important role in critical decision making, for example making weather predictions based on climate models, and computation of evidence for research publications. Recently, scientists have had to retract publications due to errors caused by software faults. Systematic testing can identify such faults in code. OBJECTIVE This study aims to identify specific ...
متن کاملScientific Theories and Artificial Intelligence
Artificial Intelligence presents an important paradigm shift for science. Science is tradition10 ally founded on theories and models, most often formalized with mathematical formulas 11 handcrafted by theoretical scientists and refined through experiments. Machine learning, 12 an important branch of modern Artificial Intelligence, focuses on learning from data. This 13 leads to a fundamentally ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computing
سال: 2023
ISSN: ['0010-485X', '1436-5057']
DOI: https://doi.org/10.1007/s00607-023-01181-x