scispace - formally typeset
Search or ask a question
Topic

Architecture

About: Architecture is a research topic. Over the lifetime, 25849 publications have been published within this topic receiving 225266 citations.


Papers
More filters
Journal ArticleDOI
TL;DR: In this article, the authors consider the importance of collective memory for the process of investing meaning in corporate architecture and employ an archival ethnography approach to shape the meanings associated with architectural designs.
Abstract: Research on organizational spaces has not considered the importance of collective memory for the process of investing meaning in corporate architecture. Employing an archival ethnography approach, practices of organizational remembering emerge as a way to shape the meanings associated with architectural designs. While the role of monuments and museums are well established in studies of collective memory, this research extends the concept of spatiality to the practices of organizational remembering that focus on a wider selection of corporate architecture. By analyzing the historical shift from colonial to modernist architecture for banks and retailers in Ghana and Nigeria in the 1950s and 1960s on the basis of documents and photographs from three different companies, this article shows how archival sources can be used to untangle the ways in which companies seek to ascribe meaning to their architectural output. Buildings allude to the past and the future in a range of complex ways that can be interpreted more fully by reference to the archival sources and the historical context of their creation. Social remembering has the potential to explain why and how buildings have meaning, while archival ethnography offers a new research approach to investigate changing organizational practices.

73 citations

01 Jan 2014
TL;DR: Correia et al. as discussed by the authors defined the operational definitions regarding vernacular architecture and sustainable architecture, and defined a profound reflection concerning the state of the art of environmental, socio-cultural and socio-economic sustainability, as well as resilient Ivernacular heritage.
Abstract: CORREIA, Mariana; DIPASQUALE, Letizia; MECCA, Saverio (eds.). Versus Heritage for Tomorrow. Vernacular Knowledge for Sustainable Architecture . Fir nz : Firenze University Pr ss , 2014 . 292 p. ISBN 978-88-6655-741-8 (print); ISBN 978-88-6655-742-5 (online) "This scientific publication resulted from an intensive and significant teamwork research, based on the common main aim of establishing key principles, regarding vernacular knowledge and its contribution for sustainable development. Lessons learned from vernacular heritage are systematised through principles that define a wide number of strategies to consider and to integrate for sustainable contemporary architecture. This was possible through the initial establishment of operational definitions, regarding vernacular architecture and sustainable architecture. It was also critical to define a profound reflection concerning the state of the art of environmental, socio-cultural and socio-economic sustainability, as well as resilient vernacular heritage, and the definition of parameters for vernacular sustainability during the 20th Century."

73 citations

Posted Content
TL;DR: This work distills a generic architecture of a neural EL system and discusses its components, such as candidate generation, mention-context encoding, and entity ranking, summarizing prominent methods for each of them.
Abstract: In this survey, we provide a comprehensive description of recent neural entity linking (EL) systems developed since 2015 as a result of the "deep learning revolution" in NLP. Our goal is to systemize design features of neural entity linking systems and compare their performance to the prominent classic methods on common benchmarks. We distill generic architectural components of a neural EL system, like candidate generation and entity ranking, and summarize prominent methods for each of them. The vast variety of modifications of this general neural entity linking architecture are grouped by several common themes: joint entity recognition and linking, models for global linking, domain-independent techniques including zero-shot and distant supervision methods, and cross-lingual approaches. Since many neural models take advantage of entity and mention/context embeddings to catch semantic meaning of them, we provide an overview of popular embedding techniques. Finally, we briefly discuss applications of entity linking, focusing on the recently emerged use-case of enhancing deep pre-trained masked language models based on the transformer architecture.

73 citations

Book
01 Jul 1997
TL;DR: This timely book provides an unconventional and up-to-date overview of all the important computer architectures and is one of the first texts to present all the relevant concepts of advanced architecture classes by exploring their design spaces.
Abstract: From the Publisher: This timely book provides an unconventional and up-to-date overview of all the important computer architectures and is one of the first texts to present all the relevant concepts of advanced architecture classes by exploring their design spaces. Advanced Computer Architectures will prove an indispensable guide for anyone who needs to be acquainted with the relevant concepts and solutions introduced in recent years to the dramatically changing world of computer architecture. For the student of advanced level courses in computer architecture, this book will provide a comprehensive and accessible overview of the subject whilst its strong practical orientation will make it an invaluable reference for the practitioner.

73 citations


Network Information
Related Topics (5)
The Internet
213.2K papers, 3.8M citations
81% related
Wireless sensor network
142K papers, 2.4M citations
81% related
Energy consumption
101.9K papers, 1.6M citations
80% related
Software
130.5K papers, 2M citations
80% related
Cloud computing
156.4K papers, 1.9M citations
79% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20244
20235,088
202211,536
2021845
20201,174
20191,226