Results 11 to 20 of about 39,453 (246)
Automated Metric Analysis of Spanish Poetry: Two Complementary Approaches
IEEE Access, 2021 The automatic metric analysis (commonly referred to as scansion) of Spanish poetry is not a trivial problem since it combines the nuances of the language, the different poetic traditions related to melodic patterns, and the personal stylistic preferences
Guillermo Marco +4 more
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Natural Language Processing and Language Technologies for the Basque Language
Cuadernos Europeos de Deusto, 2022 The presence of a language in the digital domain is crucial for its survival, as online communication and digital language resources have become the standard in the last decades and will gain more importance in the coming years.
Itziar Gonzalez-Dios, Begoña Altuna
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Grounding ‘Grounding’ in NLP [PDF]
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021 The NLP community has seen substantial recent interest in grounding to facilitate interaction between language technologies and the world. However, as a community, we use the term broadly to reference any linking of text to data or non-textual modality. In contrast, Cognitive Science more formally defines "grounding" as the process of establishing what
Chandu, Khyathi Raghavi +2 more
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On the crucial role of multilingual biomedical databases in epidemic events (SARS-CoV-2 analysis)
International Journal of Infectious Diseases, 2020 The need for multilingual biomedical databases was already pointed out by different authors. They argue about the need for making translations available in other languages and centralized access to regional databases and that one should not disregard ...
Felipe Soares +1 more
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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
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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
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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
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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
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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
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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.
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