Results 51 to 60 of about 302,572 (324)
How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 Legal Artificial Intelligence (LegalAI) focuses on applying the technology of artificial intelligence, especially natural language processing, to benefit tasks in the legal domain. In recent years, LegalAI has drawn increasing attention rapidly from both
Haoxiang Zhong +5 more
semanticscholar +1 more source
Post-COVID Psychological Impact on Social Media Users: A Study on Twitter Users [PDF]
Informatică economică, 2022 In China, healthcare specialists discovered a new and unknown virus around the end of December 2019. Later, it was recognized as Coronavirus; the virus rapidly spread over the globe.
Rasel Mia +2 more
doaj +1 more source
End-to-End Transformer-Based Models in Textual-Based NLP
Applied Informatics, 2023 Transformer architectures are highly expressive because they use self-attention mechanisms to encode long-range dependencies in the input sequences. In this paper, we present a literature review on Transformer-based (TB) models, providing a detailed ...
Abir Rahali, M. Akhloufi
semanticscholar +1 more source
Vitruvio: International Journal of Architectural Technology and Sustainability, 2023 Preventive conservation of cultural heritage can avoid or minimize future damage, deterioration, loss and consequently, any invasive intervention. Recently, Machine Learning methods were proposed to support preventive conservation and maintenance plans ...
Marco D'Orazio +2 more
doaj +1 more source
Persian Causality Corpus (PerCause) and the Causality Detection Benchmark
Iranian Journal of Information Processing & Management, 2022 Recognizing causal elements and causal relations in the text is among the challenging issues in natural language processing (NLP), specifically in low-resource languages such as Persian. In this research, we prepare a causality human-annotated corpus for
Zeinab Rahimi, Mehrnoush ShamsFard
doaj
Information, 2019 Social networks like Twitter are increasingly important in the creation of new ways of communication. They have also become useful tools for social and linguistic research due to the massive amounts of public textual data available.
Joseba Fernandez de Landa +2 more
doaj +1 more source
Ontology-based Complementary Breastfeeding Search Model
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2022 Children's nutritional requirements differ from those of adults. The health ministry's Indonesian data shows that in 2017, there were 17.8% of malnourished children under five years old (toddlers), one of which was related to complementary breastfeeding ...
Astrid Noviana Paradhita +2 more
doaj +1 more source
Spark NLP: Natural Language Understanding at Scale [PDF]
Software Impacts, 2021 Spark NLP is a Natural Language Processing (NLP) library built on top of Apache Spark ML. It provides simple, performant and accurate NLP annotations for machine learning pipelines that can scale easily in a distributed environment. Spark NLP comes with 1100 pre trained pipelines and models in more than 192 languages.
Kocaman, V., Talby, D.
openaire +3 more sources
Multimodal Sequential Fashion Attribute Prediction
Information, 2019 We address multimodal product attribute prediction of fashion items based on product images and titles. The product attributes, such as type, sub-type, cut or fit, are in a chain format, with previous attribute values constraining the values of the next ...
Hasan Sait Arslan +3 more
doaj +1 more source
The effectiveness of Neuro-Linguistic Programming (NLP) on students’ motivation and attitude [PDF]
, 2020 Neuro-Linguistic Programming (NLP) was developed at the University of California at Santa Cruz in the 1970's by its founders and principal authors, Richard Bandler and John Grinder, a professor of linguistics (Tosey & Mathison, 2003). Richard Bandler was
Abdul Hamid, Ahmad Faqirudin +2 more
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