Results 1 to 10 of about 3,843,311 (62)
Is ChatGPT a General-Purpose Natural Language Processing Task Solver? [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 Spurred by advancements in scale, large language models (LLMs) have demonstrated the ability to perform a variety of natural language processing (NLP) tasks zero-shot -- i.e., without adaptation on downstream data.
Chengwei Qin +5 more
semanticscholar +1 more source
Boletim de Indústria Animal, 2014 Trezentos e sessentes leitões mestiços (1/4 Landrace + 1/4 Large White + 1/2 Duroc) de quatro ciclos reprodutivos, provenientes de 60 porcas submetidas a diferentes fontes de fósforo (Fosfatos bicálcico, monocálcico e Tapira) durante a gestação e ...
Hacy Pinto Barbosa +4 more
doaj +8 more sources
Journal of Natural Fibers, 2023 Environmental awareness has become more important among individuals and societies in recent years. The increasing awareness and sensitivity to the environment have made the reintroduction of natural dyes in the textile industries even more important.
R. Karadağ
semanticscholar +1 more source
Natural Products in Cancer Therapy: Past, Present and Future
Natural Products and Bioprospecting, 2021 Natural products, with remarkable chemical diversity, have been extensively investigated for their anticancer potential for more than a half-century.
Min Huang, Jin-jian Lu, Jian Ding
semanticscholar +1 more source
Natural Products and Bioprospecting, 2022 The global cosmetics market reached US$500 billion in 2017 and is expected to exceed US$800 billion by 2023, at around a 7% annual growth rate. The cosmetics industry is emerging as one of the fastest-growing industries of the past decade.
Ji-Kai Liu
semanticscholar +1 more source
A large annotated corpus for learning natural language inference [PDF]
Conference on Empirical Methods in Natural Language Processing, 2015 Understanding entailment and contradiction is fundamental to understanding natural language, and inference about entailment and contradiction is a valuable testing ground for the development of semantic representations. However, machine learning research
Samuel R. Bowman +3 more
semanticscholar +1 more source
Discovery of Anticancer Agents of Diverse Natural Origin.
Journal of Natural Products, 2022 Research progress from mainly over the last five years is described for a multidisciplinary collaborative program project directed toward the discovery of potential anticancer agents from a broad range of taxonomically defined organisms.
L. Aldrich +18 more
semanticscholar +1 more source
Natural Products as Sources of New Drugs over the Nearly Four Decades from 01/1981 to 09/2019.
Journal of Natural Products, 2020 This review is an updated and expanded version of the five prior reviews that were published in this journal in 1997, 2003, 2007, 2012, and 2016. For all approved therapeutic agents, the time frame has been extended to cover the almost 39 years from the ...
D. Newman, G. Cragg
semanticscholar +1 more source
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data [PDF]
Conference on Empirical Methods in Natural Language Processing, 2017 Many modern NLP systems rely on word embeddings, previously trained in an unsupervised manner on large corpora, as base features. Efforts to obtain embeddings for larger chunks of text, such as sentences, have however not been so successful.
Alexis Conneau +4 more
semanticscholar +1 more source
The national risk index: establishing a nationwide baseline for natural hazard risk in the US
Natural Hazards, 2022 The National Risk Index developed by the Federal Emergency Management Agency provides a relative measurement of community-level natural hazard risk across 50 US states and Washington, DC.
C. Zuzak +5 more
semanticscholar +1 more source