Results 1 to 10 of about 3,970,490 (50)
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
Translation between Molecules and Natural Language [PDF]
Conference on Empirical Methods in Natural Language Processing, 2022 We present MolT5 - a self-supervised learning framework for pretraining models on a vast amount of unlabeled natural language text and molecule strings.
Carl N. Edwards +4 more
semanticscholar +1 more source
FOLIO: Natural Language Reasoning with First-Order Logic [PDF]
Conference on Empirical Methods in Natural Language Processing, 2022 Large language models (LLMs) have achieved remarkable performance on a variety of natural language understanding tasks. However, existing benchmarks are inadequate in measuring the complex logical reasoning capabilities of a model.
Simeng Han +25 more
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
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
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts [PDF]
Conference on Empirical Methods in Natural Language Processing, 2021 Reviewing contracts is a time-consuming procedure that incurs large expenses to companies and social inequality to those who cannot afford it. In this work, we propose"document-level natural language inference (NLI) for contracts", a novel, real-world ...
Yuta Koreeda, Christopher D. Manning
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
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
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
Natural resources forum (Print), 2023 This study explores the impact of natural resource exploitation, trade openness, and economic growth on carbon emissions in a sample of oil‐exporting nations for the period 1971–2014.
Tarek Ghazouani, Samir Maktouf
semanticscholar +1 more source