64 research outputs found
Digital writing technologies in higher education : theory, research, and practice
This open access book serves as a comprehensive guide to digital writing technology, featuring contributions from over 20 renowned researchers from various disciplines around the world. The book is designed to provide a state-of-the-art synthesis of the developments in digital writing in higher education, making it an essential resource for anyone interested in this rapidly evolving field.
In the first part of the book, the authors offer an overview of the impact that digitalization has had on writing, covering more than 25 key technological innovations and their implications for writing practices and pedagogical uses. Drawing on these chapters, the second part of the book explores the theoretical underpinnings of digital writing technology such as writing and learning, writing quality, formulation support, writing and thinking, and writing processes. The authors provide insightful analysis on the impact of these developments and offer valuable insights into the future of writing. Overall, this book provides a cohesive and consistent theoretical view of the new realities of digital writing, complementing existing literature on the digitalization of writing. It is an essential resource for scholars, educators, and practitioners interested in the intersection of technology and writing
Fundamentals
Volume 1 establishes the foundations of this new field. It goes through all the steps from data collection, their summary and clustering, to different aspects of resource-aware learning, i.e., hardware, memory, energy, and communication awareness. Machine learning methods are inspected with respect to resource requirements and how to enhance scalability on diverse computing architectures ranging from embedded systems to large computing clusters
CLARIN
The book provides a comprehensive overview of the Common Language Resources and Technology Infrastructure – CLARIN – for the humanities. It covers a broad range of CLARIN language resources and services, its underlying technological infrastructure, the achievements of national consortia, and challenges that CLARIN will tackle in the future. The book is published 10 years after establishing CLARIN as an Europ. Research Infrastructure Consortium
CLARIN. The infrastructure for language resources
CLARIN, the "Common Language Resources and Technology Infrastructure", has established itself as a major player in the field of research infrastructures for the humanities. This volume provides a comprehensive overview of the organization, its members, its goals and its functioning, as well as of the tools and resources hosted by the infrastructure. The many contributors representing various fields, from computer science to law to psychology, analyse a wide range of topics, such as the technology behind the CLARIN infrastructure, the use of CLARIN resources in diverse research projects, the achievements of selected national CLARIN consortia, and the challenges that CLARIN has faced and will face in the future.
The book will be published in 2022, 10 years after the establishment of CLARIN as a European Research Infrastructure Consortium by the European Commission (Decision 2012/136/EU)
Scholars in Action (2 vols)
In Scholars in Action, an international group of 40 authors open up new perspectives on the eighteenth-century culture of knowledge, with a particular focus on scholars and their various practices.; Readership: All interested in the Republic of Letters, the history of Enlightenment and the history of early modern knowledge, scholarship and science
Energy Efficiency
Energy efficiency is finally a common sense term. Nowadays almost everyone knows that using energy more efficiently saves money, reduces the emissions of greenhouse gasses and lowers dependence on imported fossil fuels. We are living in a fossil age at the peak of its strength. Competition for securing resources for fuelling economic development is increasing, price of fuels will increase while availability of would gradually decline. Small nations will be first to suffer if caught unprepared in the midst of the struggle for resources among the large players. Here it is where energy efficiency has a potential to lead toward the natural next step - transition away from imported fossil fuels! Someone said that the only thing more harmful then fossil fuel is fossilized thinking. It is our sincere hope that some of chapters in this book will influence you to take a fresh look at the transition to low carbon economy and the role that energy efficiency can play in that process
Sentence Simplification for Text Processing
A thesis submitted in partial fulfilment of the requirement of the University of Wolverhampton for the degree of Doctor of Philosophy.Propositional density and syntactic complexity are two features of sentences which
affect the ability of humans and machines to process them effectively. In this
thesis, I present a new approach to automatic sentence simplification which processes
sentences containing compound clauses and complex noun phrases (NPs)
and converts them into sequences of simple sentences which contain fewer of these
constituents and have reduced per sentence propositional density and syntactic
complexity.
My overall approach is iterative and relies on both machine learning and handcrafted
rules. It implements a small set of sentence transformation schemes, each
of which takes one sentence containing compound clauses or complex NPs and
converts it one or two simplified sentences containing fewer of these constituents
(Chapter 5). The iterative algorithm applies the schemes repeatedly and is able
to simplify sentences which contain arbitrary numbers of compound clauses and
complex NPs. The transformation schemes rely on automatic detection of these
constituents, which may take a variety of forms in input sentences. In the thesis, I
present two new shallow syntactic analysis methods which facilitate the detection
process.
The first of these identifies various explicit signs of syntactic complexity in
input sentences and classifies them according to their specific syntactic linking and bounding functions. I present the annotated resources used to train and
evaluate this sign tagger (Chapter 2) and the machine learning method used to
implement it (Chapter 3). The second syntactic analysis method exploits the sign
tagger and identifies the spans of compound clauses and complex NPs in input
sentences. In Chapter 4 of the thesis, I describe the development and evaluation
of a machine learning approach performing this task. This chapter also presents
a new annotated dataset supporting this activity.
In the thesis, I present two implementations of my approach to sentence simplification.
One of these exploits handcrafted rule activation patterns to detect
different parts of input sentences which are relevant to the simplification process.
The other implementation uses my machine learning method to identify
compound clauses and complex NPs for this purpose.
Intrinsic evaluation of the two implementations is presented in Chapter 6 together
with a comparison of their performance with several baseline systems. The
evaluation includes comparisons of system output with human-produced simplifications,
automated estimations of the readability of system output, and surveys
of human opinions on the grammaticality, accessibility, and meaning of automatically
produced simplifications.
Chapter 7 presents extrinsic evaluation of the sentence simplification method
exploiting handcrafted rule activation patterns. The extrinsic evaluation involves
three NLP tasks: multidocument summarisation, semantic role labelling, and information
extraction. Finally, in Chapter 8, conclusions are drawn and directions
for future research considered
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