Results 71 to 80 of about 4,525,819 (292)
Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)ACL ...
Kishino, Ryo +4 more
openaire +2 more sources
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines how European automotive companies disclose circular economy (CE) information in light of the Corporate Sustainability Reporting Directive (CSRD) and the European Sustainability Reporting Standards (ESRS) E5. Using a mixed‐methods, data‐driven approach that combines keyword analysis and latent Dirichlet allocation (LDA ...
Dominika Hadro +4 more
wiley +1 more source
Near visual function measured with a novel tablet application in patients with astigmatism
Clinical and Experimental Optometry, EarlyView., 2020 Clinical relevance While the clinical focus of performance metrics is traditionally based on visual acuity, research from the field of visual impairment has demonstrated that metrics such as reading speed and critical print size correlate much more strongly with subjective patient reported outcomes and assessed ability in real‐world tasks.
Ananya Datta +8 more
wiley +1 more source
Minimization of data base query's conditions: evoluation of efficiency
Труды Института системного программирования РАН, 2018 This paper describes enhanced algorisms of query lexical optimization. These algorisms detect and remove redundant conditions from query restriction to simplify it.
N. A. Mendkovich, S. D. Kuznetsov
doaj
Transfer and Multi-Task Learning for Noun-Noun Compound Interpretation
, 2018 In this paper, we empirically evaluate the utility of transfer and multi-task learning on a challenging semantic classification task: semantic interpretation of noun--noun compounds.
Fares, Murhaf +2 more
core +1 more source
Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives
Business Strategy and the Environment, EarlyView.ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh +3 more
wiley +1 more source
Hybrid Feature and Optimized Deep Learning Model Fusion for Detecting Hateful Arabic Content
IEEE AccessDetecting hate speech in Arabic social media content is critical for ensuring safe, inclusive, and respectful online communication. However, this task remains challenging due to Arabic’s morphological richness, dialectal variations such as ...
Karim Gasmi +7 more
doaj +1 more source
Holaaa!! Writin like u talk is kewl but kinda hard 4 NLP [PDF]
, 2012 We present work in progress aiming to build tools for the normalization of User-Generated Content (UGC). As we will see, the task requires the revisiting of the initial steps of NLP processing, since UGC (micro-blog, blog, and, generally, Web 2.0 user ...
Domingo, Judit +4 more
core
Assessing the contribution of shallow and deep knowledge sources for word sense disambiguation
, 2010 Corpus-based techniques have proved to be very beneficial in the development of efficient and accurate approaches to word sense disambiguation (WSD) despite the fact that they generally represent relatively shallow knowledge.
C. Fellbaum +10 more
core +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines the relationship between mergers and acquisitions (M&A), board characteristics, and ESG performance in BRICS companies, considering the moderating role of sectoral sensitivity. The study analyzes 11,402 observations from 2293 BRICS companies, employing Two‐Stage Least Squares (2SLS) to address endogeneity and logistic ...
Geovane Camilo dos Santos +2 more
wiley +1 more source