Results 81 to 90 of about 2,779 (194)
Identifying Informational Sources in News Articles
News articles are driven by the informational sources journalists use in reporting. Modeling when, how and why sources get used together in stories can help us better understand the information we consume and even help journalists with the task of ...
Ferrara, Emilio +3 more
core
Abstract Paraphrase generation is a fundamental natural language processing (NLP) task that refers to the process of generating a well‐formed and coherent output sentence that exhibits both syntactic and/or lexical diversity from the input sentence, while simultaneously ensuring that the semantic similarity between the two sentences is preserved ...
Meltem Kurt Pehlivanoğlu +4 more
wiley +1 more source
How to optimize the systematic review process using AI tools
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 +8 more
wiley +1 more source
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 +4 more
doaj +1 more source
An improved global pressure and zenith wet delay model with optimized vertical correction considering the spatiotemporal variability in multiple height-scale factors [PDF]
Atmospheric pressure and zenith wet delay (ZWD) are essential for global navigation satellite system (GNSS) tropospheric correction and precipitable water vapor (PWV) retrieval. As the development progresses of real-time GNSS kinematic technology, moving
C. Jiang +8 more
doaj +1 more source
Multilingual Lexical Simplification via Paraphrase Generation
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 +5 more
core
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 +5 more
wiley +1 more source
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 +2 more
core +1 more source
Interpreting Answers to Yes-No Questions in User-Generated Content
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 +4 more
core
This study examines the impact of GitHub Copilot on a large sample of Copilot users (n=934,533). The analysis shows that users on average accept nearly 30% of the suggested code, leading to increased productivity.
Dohmke, Thomas +2 more
core

