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Algebraic Structures in Natural Language addresses a central problem in cognitive science concerning the learning procedures through which humans acquire and represent natural language. Until recently algebraic systems have dominated the study of natural language in formal and computational linguistics, AI, and the psychology of language, with linguistic knowledge seen as encoded in formal grammars, model theories, proof theories and other rule-driven devices. Recent work on deep learning has produced an increasingly powerful set of general learning mechanisms which do not apply rule-based algebraic models of representation. The success of deep learning in NLP has led some researchers to que...
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Narrating Mexico's evolution of fire through five eras--pre-human, pre-Hispanic, colonial, industrializing (1880-1980), and contemporary (1980-2015)--this volume relies on the myth of the "five suns" that the Aztecs used to characterize their history. It completes a North American trilogy of fire histories that also includes the United States and Canada.
There is a rapidly growing interest in, and demand for, non-timber forest products (NTFPs). They provide critical resources across the globe fulfilling nutritional, medicinal, financial and cultural needs. However, they have been largely overlooked in mainstream conservation and forestry politics. This volume explains the use and importance of certification and eco-labelling for guaranteeing best management practices of non-timber forest products in the field. Using extensive case studies and global profiles of non-timber forest products, this work not only seeks to further our comprehension of certification processes but also broaden understanding of non-timber forest product management, harvesting and marketing. It should be useful to forest managers, policy-makers and conservation organizations as well as for academics in these areas.
This book constitutes the refereed proceedings of the 6th International Conference on Information Management and Big Data, SIMBig 2019, held in Lima, Peru, in August 2019. The 15 full papers and 16 short papers presented were carefully reviewed and selected from 104 submissions. The papers address issues such as data mining, artificial intelligence, Natural Language Processing, information retrieval, machine learning, web mining.
Os trabalhos aqui reunidos são parte do esforço de pesquisa de vários grupos sediados e nucleados no Brasil, Espanha e Portugal, reunidos com comunhão de linha temática para discussão, envolvendo vários programas de pós-graduação. Os grupos têm tradicionalmente se reunido, encontros, anuais, para trocas de notícias de pesquisa e a articulação das pesquisas comuns. Os trabalhos aqui reunidos são a consolidação das atividades de pesquisa realizadas no biênio 2013-2014 e envolvem atividades conjuntas e supervisionadas pelos grupos articulados da Universidade do Minho, Universidade Autônoma de Barcelona, Universidade de Barcelona, Universidade Federal de Minas Gerais, Universidade Federal de Uberlândia e Universidade Federal de Goiás.
Introduction : why agroecology? -- The scientific principles of agroecology -- The scientific evidence for agroecology : can it feed the world? -- Scaling up agroecology : social process and organization -- The politics of agroecology -- Conclusions : conform or transform?
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This book offers conceptual analyses, highlights issues, proposes solutions, and discusses practices regarding privacy and data protection in transitional times. It is one of the results of the 15th annual International Conference on Computers, Privacy and Data Protection (CPDP), which was held in Brussels in May 2022. We are in a time of transition. Artificial Intelligence is making significant breakthroughs in how humans use data and information, and is changing our lives in virtually all aspects. The pandemic has pushed society to adopt changes in how, when, why, and the media through which, we interact. A new generation of European digital regulations - such as the AI Act, Digital Servic...