Results 211 to 220 of about 51,982 (249)

BenchmarkDataNLP.jl: Synthetic Data Generation for NLP Benchmarking [PDF]

Alexander V. Mantzaris
openalex   +1 more source

From the Shallows to the Shelves and Back: A Review, Synthesis, and Research Agenda for Socially Sustainable, AI‐Driven Digital Fashion Supply Chains

Business Ethics, the Environment &Responsibility, EarlyView.
ABSTRACT The fashion supply chain is undergoing a transformation driven by AI, with significant implications for social sustainability and ethics. This study examines how AI‐powered innovations optimize supply chain operations, enhance transparency, and support ethical labor practices.
Guli‐Sanam Karimova, Stephen A. LeMay, Alina Müller, Matthias Klumpp   +3 more
wiley   +1 more source

Supporting learner agency in collaborative writing with generative AI

British Journal of Educational Technology, EarlyView.
Abstract To support learner agency in LLM‐powered writing environments, this research introduces a new interface that integrates two key features: an Argument Outline and a Similarity Viewer. These features were designed to enhance intentionality in writing and self‐monitoring of reliance on AI‐generated suggestions.
Sujin Kim, Hyo‐Jeong So, Kyudong Park
wiley   +1 more source

Leveraging NLP-based tools for constructive alignment

Coskun Kilinc, Chathu Ranaweera, Julien Ugon, Andrew Cain, Charlotte Pierce   +4 more
openalex   +2 more sources

Decoding the language of first impressions: Comparing models of first impressions of faces derived from free‐text descriptions and trait ratings

British Journal of Psychology, EarlyView.
Abstract First impressions formed from facial appearance predict important social outcomes. Existing models of these impressions indicate they are underpinned by dimensions of Valence and Dominance, and are typically derived by applying data reduction methods to explicit ratings of faces for a range of traits.
Alex L. Jones, Victor Shiramizu, Benedict C. Jones   +2 more
wiley   +1 more source

Artificial Intelligence Use in Academic Applicant Screening: A Systematic Review. [PDF]

Plast Reconstr Surg Glob Open
Jiang T, Er S, Heron MJ, Zhu KJ, Yang R.
europepmc   +1 more source

Good Intentions Beyond ACL: Who Does NLP for Social Good, and Where?

Association for Computational Linguistics 2025, Jewell, Jason, LeFevre, Grace, Leif, Adam, Peskoff, Denis, Voigt, Rob, Zeng, Qingcheng   +6 more
openalex   +1 more source

Scoping review on natural language processing applications in counselling and psychotherapy

British Journal of Psychology, EarlyView.
Abstract Recent years have witnessed some rapid and tremendous progress in natural language processing (NLP) techniques that are used to analyse text data. This study endeavours to offer an up‐to‐date review of NLP applications by examining their use in counselling and psychotherapy from 1990 to 2021.
Maria Laricheva, Yan Liu, Edward Shi, Amery Wu   +3 more
wiley   +1 more source

Artificial intelligence streamlines scientific discovery of drug–target interactions

British Journal of Pharmacology, EarlyView.
Abstract Drug discovery is a complicated process through which new therapeutics are identified to prevent and treat specific diseases. Identification of drug–target interactions (DTIs) stands as a pivotal aspect within the realm of drug discovery and development. The traditional process of drug discovery, especially identification of DTIs, is marked by
Yuxin Yang, Feixiong Cheng
wiley   +1 more source