781 research outputs found
Deep Learning for Text Style Transfer: A Survey
Text style transfer is an important task in natural language generation,
which aims to control certain attributes in the generated text, such as
politeness, emotion, humor, and many others. It has a long history in the field
of natural language processing, and recently has re-gained significant
attention thanks to the promising performance brought by deep neural models. In
this paper, we present a systematic survey of the research on neural text style
transfer, spanning over 100 representative articles since the first neural text
style transfer work in 2017. We discuss the task formulation, existing datasets
and subtasks, evaluation, as well as the rich methodologies in the presence of
parallel and non-parallel data. We also provide discussions on a variety of
important topics regarding the future development of this task. Our curated
paper list is at https://github.com/zhijing-jin/Text_Style_Transfer_SurveyComment: Computational Linguistics Journal 202
On Evaluating Commercial Cloud Services: A Systematic Review
Background: Cloud Computing is increasingly booming in industry with many
competing providers and services. Accordingly, evaluation of commercial Cloud
services is necessary. However, the existing evaluation studies are relatively
chaotic. There exists tremendous confusion and gap between practices and theory
about Cloud services evaluation. Aim: To facilitate relieving the
aforementioned chaos, this work aims to synthesize the existing evaluation
implementations to outline the state-of-the-practice and also identify research
opportunities in Cloud services evaluation. Method: Based on a conceptual
evaluation model comprising six steps, the Systematic Literature Review (SLR)
method was employed to collect relevant evidence to investigate the Cloud
services evaluation step by step. Results: This SLR identified 82 relevant
evaluation studies. The overall data collected from these studies essentially
represent the current practical landscape of implementing Cloud services
evaluation, and in turn can be reused to facilitate future evaluation work.
Conclusions: Evaluation of commercial Cloud services has become a world-wide
research topic. Some of the findings of this SLR identify several research gaps
in the area of Cloud services evaluation (e.g., the Elasticity and Security
evaluation of commercial Cloud services could be a long-term challenge), while
some other findings suggest the trend of applying commercial Cloud services
(e.g., compared with PaaS, IaaS seems more suitable for customers and is
particularly important in industry). This SLR study itself also confirms some
previous experiences and reveals new Evidence-Based Software Engineering (EBSE)
lessons
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Beginning in 2004/2005- issued in online format onl
A Rational Deconstruction of Landin's SECD Machine with the J Operator
Landin's SECD machine was the first abstract machine for applicative
expressions, i.e., functional programs. Landin's J operator was the first
control operator for functional languages, and was specified by an extension of
the SECD machine. We present a family of evaluation functions corresponding to
this extension of the SECD machine, using a series of elementary
transformations (transformation into continu-ation-passing style (CPS) and
defunctionalization, chiefly) and their left inverses (transformation into
direct style and refunctionalization). To this end, we modernize the SECD
machine into a bisimilar one that operates in lockstep with the original one
but that (1) does not use a data stack and (2) uses the caller-save rather than
the callee-save convention for environments. We also identify that the dump
component of the SECD machine is managed in a callee-save way. The caller-save
counterpart of the modernized SECD machine precisely corresponds to Thielecke's
double-barrelled continuations and to Felleisen's encoding of J in terms of
call/cc. We then variously characterize the J operator in terms of CPS and in
terms of delimited-control operators in the CPS hierarchy. As a byproduct, we
also present several reduction semantics for applicative expressions with the J
operator, based on Curien's original calculus of explicit substitutions. These
reduction semantics mechanically correspond to the modernized versions of the
SECD machine and to the best of our knowledge, they provide the first syntactic
theories of applicative expressions with the J operator
Improving IS Enrollment Choices: The Role of Social Support
Over the last decade, enrollment in Information Systems (IS) and related programs has dropped worldwide and still remains low despite positive job market predictions. Given the significant negative consequences of low enrollments on both academia and industry, the IS community has focused its efforts on mechanisms to increase enrollments. This study investigates how such a mechanism – social support – influences students’ aspirations to pursue an IS degree. More specifically, the study suggests that social support, self-efficacy, outcome expectations, and interests independently and cumulatively affect students’ choice of IS as their major
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