Results 71 to 80 of about 2,466 (175)

How to Sow and Reap as You Go: a Simple Model of Cyclical Endogenous Growth [PDF]

In this paper, we present a simple endogenous growth model that allows for the occurrence of innovations that can develop into General Purpose Technologies (GPTs), which are the result of basic R&D.
Fortune,Emmanuelle, Kronenberg,Tobias, Zon,Adriaan,van   +2 more
core   +1 more source

How to optimize the systematic review process using AI tools

JCPP Advances, Volume 4, Issue 2, June 2024.
Abstract Systematic reviews are a cornerstone for synthesizing the available evidence on a given topic. They simultaneously allow for gaps in the literature to be identified and provide direction for future research. However, due to the ever‐increasing volume and complexity of the available literature, traditional methods for conducting systematic ...
Nicholas Fabiano, Arnav Gupta, Nishaant Bhambra, Brandon Luu, Stanley Wong, Muhammad Maaz, Jess G. Fiedorowicz, Andrew L. Smith, Marco Solmi   +8 more
wiley   +1 more source

Be Sure to Use the Same Writing Style: Applying Authorship Verification on Large-Language-Model-Generated Texts

Applied Sciences
Recently, there have been significant advances and wide-scale use of generative AI in natural language generation. Models such as OpenAI’s GPT3 and Meta’s LLaMA are widely used in chatbots, to summarize documents, and to generate creative content.
Janith Weerasinghe, Ovendra Seepersaud, Genesis Smothers, Julia Jose, Rachel Greenstadt   +4 more
doaj   +1 more source

Multilingual Lexical Simplification via Paraphrase Generation

, 2023
Lexical simplification (LS) methods based on pretrained language models have made remarkable progress, generating potential substitutes for a complex word through analysis of its contextual surroundings. However, these methods require separate pretrained
Hua, Kaixun, Li, Yun, Liu, Kang, Qiang, Jipeng, Yuan, Yunhao, Zhu, Yi   +5 more
core  

How to apply zero‐shot learning to text data in substance use research: An overview and tutorial with media data

Addiction, Volume 119, Issue 5, Page 951-959, May 2024.
Abstract A vast amount of media‐related text data is generated daily in the form of social media posts, news stories or academic articles. These text data provide opportunities for researchers to analyse and understand how substance‐related issues are being discussed. The main methods to analyse large text data (content analyses or specifically trained
Benjamin Riordan, Abraham Albert Bonela, Zhen He, Aiden Nibali, Dan Anderson‐Luxford, Emmanuel Kuntsche   +5 more
wiley   +1 more source

GFZTD: A Multimodal Fusion-Driven 3-D Tropospheric Delay Prediction Model Coupling Self-Attention and ConvLSTM

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Tropospheric delay, for which water vapor is a major cause, is a significant source of error in the global navigation satellite system. This article presents the gray figure-based zenith tropospheric delay prediction (GFZTD) model, which is built on ...
Yixin Zhu, Zhimin Sha, Pengzhi Wei, Shirong Ye, Pengfei Xia, Fangxin Hu   +5 more
doaj   +1 more source

Improved Zenith Tropospheric Delay Modeling Using the Piecewise Model of Atmospheric Refractivity

Remote Sensing, 2020
As one of the atmosphere propagation delays, the tropospheric delay is a significant error source that should be properly handled in high-precision global navigation satellite system (GNSS) applications.
Liu Yang, Jingxiang Gao, Dantong Zhu, Nanshan Zheng, Zengke Li   +4 more
doaj   +1 more source

Higher accuracy estimation of the weighted mean temperature (tm) with the aid of machine learning and NWP model

All Earth
An accurate calculation of weighted mean temperature (Tm) is highly critical for global navigation satellite system (GNSS) based precipitable water vapour retrieval.
Mingyun Hu, Junyu Li, Chaolong Yao, Feijuan Li, Lilong Liu, Liangke Huang, Yuxin Wang   +6 more
doaj   +1 more source

Extending Feature-Based Detection for Artificial Intelligence [PDF]

AI text generation is rapidly developing, and, as a result, it is becoming increasingly difficult to differentiate it from human written text. Our base study by Leon Fröhling et al.
Ahrndt, Kayla
core   +1 more source

Interpreting Answers to Yes-No Questions in User-Generated Content

, 2023
Interpreting answers to yes-no questions in social media is difficult. Yes and no keywords are uncommon, and the few answers that include them are rarely to be interpreted what the keywords suggest.
Blanco, Eduardo, Chinnappa, Dhivya, Kotamraju, Saketh, Mathur, Shivam, Park, Keun Hee   +4 more
core