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Author: Horacio Saggion
Publisher: Springer Nature
ISBN: 3031021665
Category : Computers
Languages : en
Pages : 121
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Book Description
Thanks to the availability of texts on the Web in recent years, increased knowledge and information have been made available to broader audiences. However, the way in which a text is written—its vocabulary, its syntax—can be difficult to read and understand for many people, especially those with poor literacy, cognitive or linguistic impairment, or those with limited knowledge of the language of the text. Texts containing uncommon words or long and complicated sentences can be difficult to read and understand by people as well as difficult to analyze by machines. Automatic text simplification is the process of transforming a text into another text which, ideally conveying the same message, will be easier to read and understand by a broader audience. The process usually involves the replacement of difficult or unknown phrases with simpler equivalents and the transformation of long and syntactically complex sentences into shorter and less complex ones. Automatic text simplification, a research topic which started 20 years ago, now has taken on a central role in natural language processing research not only because of the interesting challenges it posesses but also because of its social implications. This book presents past and current research in text simplification, exploring key issues including automatic readability assessment, lexical simplification, and syntactic simplification. It also provides a detailed account of machine learning techniques currently used in simplification, describes full systems designed for specific languages and target audiences, and offers available resources for research and development together with text simplification evaluation techniques.
Author: Horacio Saggion
Publisher: Springer Nature
ISBN: 3031021665
Category : Computers
Languages : en
Pages : 121
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Book Description
Thanks to the availability of texts on the Web in recent years, increased knowledge and information have been made available to broader audiences. However, the way in which a text is written—its vocabulary, its syntax—can be difficult to read and understand for many people, especially those with poor literacy, cognitive or linguistic impairment, or those with limited knowledge of the language of the text. Texts containing uncommon words or long and complicated sentences can be difficult to read and understand by people as well as difficult to analyze by machines. Automatic text simplification is the process of transforming a text into another text which, ideally conveying the same message, will be easier to read and understand by a broader audience. The process usually involves the replacement of difficult or unknown phrases with simpler equivalents and the transformation of long and syntactically complex sentences into shorter and less complex ones. Automatic text simplification, a research topic which started 20 years ago, now has taken on a central role in natural language processing research not only because of the interesting challenges it posesses but also because of its social implications. This book presents past and current research in text simplification, exploring key issues including automatic readability assessment, lexical simplification, and syntactic simplification. It also provides a detailed account of machine learning techniques currently used in simplification, describes full systems designed for specific languages and target audiences, and offers available resources for research and development together with text simplification evaluation techniques.
Author: Sydney Spencer Claude Tickell
Publisher:
ISBN:
Category : Heresy
Languages : en
Pages : 56
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Book Description
Author: Christina Niklaus
Publisher: Springer Nature
ISBN: 3658386975
Category : Language Arts & Disciplines
Languages : en
Pages : 340
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Book Description
This work presents a discourse-aware Text Simplification approach that splits and rephrases complex English sentences within the semantic context in which they occur. Based on a linguistically grounded transformation stage, complex sentences are transformed into shorter utterances with a simple canonical structure that can be easily analyzed by downstream applications. To avoid breaking down the input into a disjointed sequence of statements that is difficult to interpret, the author incorporates the semantic context between the split propositions in the form of hierarchical structures and semantic relationships, thus generating a novel representation of complex assertions that puts a semantic layer on top of the simplified sentences. In a second step, she leverages the semantic hierarchy of minimal propositions to improve the performance of Open IE frameworks. She shows that such systems benefit in two dimensions. First, the canonical structure of the simplified sentences facilitates the extraction of relational tuples, leading to an improved precision and recall of the extracted relations. Second, the semantic hierarchy can be leveraged to enrich the output of existing Open IE approaches with additional meta-information, resulting in a novel lightweight semantic representation for complex text data in the form of normalized and context-preserving relational tuples.
Author: Umberto Cugini
Publisher: Springer
ISBN: 0387354948
Category : Technology & Engineering
Languages : en
Pages : 249
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Book Description
IFIP Working Group 5.2 has organized a series of workshops extending the concept of intelligent CAD to the concept of "knowledge intensive engineering". The concept advocates that intensive life-cycle knowledge regarding products and design processes must be incorporated in the center of the CAD architecture. It focuses on the systematization and sharing of knowledge across the life-cycle stages and organizational boundaries. From Knowledge Intensive CAD to Knowledge Intensive Engineering comprises the Proceedings of the Fourth Workshop on Knowledge Intensive CAD, which was sponsored by the International Federation for Information Processing (IFIP) and held in Parma, Italy in May 2000. This workshop looked at the evolution of knowledge intensive design for the product life cycle moving towards knowledge intensive engineering. The 18 selected papers present an overview of the state-of-the-art in knowledge intensive engineering, discussing theoretical aspects and also practical systems and experiences gained in this area. An invited speaker paper is also included, discussing the role of knowledge in product and process innovation and technology for processing semantic knowledge. Main issues discussed in the book are: Architectures for knowledge intensive CAD; Tools for knowledge intensive CAD; Methodologies for knowledge intensive CAD; Implementation of knowledge intensive CAD; Applications of knowledge intensive CAD; Evolution of knowledge intensive design for the life-cycle; Formal methods. The volume is essential reading for researchers, graduate and postgraduate students, systems developers of advanced computer-aided design and manufacturing systems, and engineers involved in industrial applications.
Author: Michael Gervautz
Publisher: Springer Science & Business Media
ISBN: 3709168058
Category : Computers
Languages : en
Pages : 201
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Book Description
This book contains the scientific papers presented at the SthEUROGRAPHICS Workshop on Virtual Environments '99, which st st was held in Vienna May 31 and June 1 . It was organized by the Institute of Computer Graphics of the Vienna University of Technology together with the Austrian Academy of Sciences and EUROGRAPHICS. The workshop brought together scientists from all over the world to present and discuss the latest scientific advances in the field of Virtual Environments. 31 papers where submitted for reviewing and 18 where selected to be presented at the workshop. Most of the top research institutions working in the area submitted papers and presented their latest results. These presentations were complemented by invited lectures from Stephen Feiner and Ron Azuma, two key researchers in the area of Augmented Reality. The book gives a good overview of the state of the art in Augmented Reality and Virtual Environment research. The special focus of the Workshop was Augmented Reality, reflecting a noticeable strong trend in the field of Virtual Environments. Augmented Reality tries to enrich real environments with virtual objects rather than replacing the real world with a virtual world. The main challenges include real time rendering, tracking, registration and occlusion of real and virtual objects, shading and lighting interaction, and interaction techniques in augmented environments. These problems are addressed by new research results documented in this book. Besides Augmented Reality, the papers collected here also address levels of detail, distributed environments, systems and applications, and interaction techniques.
Author: Lisa Bodell
Publisher: Routledge
ISBN: 1351817671
Category : Business & Economics
Languages : en
Pages : 193
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Book Description
Imagine what you could do with the time you spend writing emails every day. Complexity is killing companies' ability to innovate and adapt, and simplicity is fast becoming the competitive advantage of our time. Why Simple Wins helps leaders and their teams move beyond the feelings of frustration and futility that come with so much unproductive work in today's corporate world to create a corporate culture where valuable, essential, meaningful work is the norm. By learning how to eliminate redundancies, communicate with clarity, and make simplification a habit, individuals and companies can begin to recognize which activities are time-sucks and which create lasting value. Lisa Bodell's simplification method has several unique principles: Simplification is a skill that's available to us all, yet very few leaders use it. Simplification is the right thing to do--for our customers, for our company, and for each other. Operating with simplification as our core business model will make it easier to be respectful of each other's time. Simplification drives culture, and culture in turn drives employee engagement, customer relations, and overall productivity. This book is inspired by Bodell's passion for eliminating barriers to innovation and productivity. In it, she explains why change and innovation are so hard to achieve--and it's not what you might expect. The reality is this: we spend our days drowning in mundane tasks like meetings, emails, and reports. These are often self-created complexities that prevent us from getting to the meaningful work that truly matters. Using simple stories and techniques, Why Simple Wins shows that by using simplicity as an operating principle, we can eliminate the busy work that puts a chokehold on us every day, and instead spend time on the work that we value.
Author: Lucia Specia
Publisher: Morgan & Claypool Publishers
ISBN: 1681733749
Category : Computers
Languages : en
Pages : 164
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Book Description
Many applications within natural language processing involve performing text-to-text transformations, i.e., given a text in natural language as input, systems are required to produce a version of this text (e.g., a translation), also in natural language, as output. Automatically evaluating the output of such systems is an important component in developing text-to-text applications. Two approaches have been proposed for this problem: (i) to compare the system outputs against one or more reference outputs using string matching-based evaluation metrics and (ii) to build models based on human feedback to predict the quality of system outputs without reference texts. Despite their popularity, reference-based evaluation metrics are faced with the challenge that multiple good (and bad) quality outputs can be produced by text-to-text approaches for the same input. This variation is very hard to capture, even with multiple reference texts. In addition, reference-based metrics cannot be used in production (e.g., online machine translation systems), when systems are expected to produce outputs for any unseen input. In this book, we focus on the second set of metrics, so-called Quality Estimation (QE) metrics, where the goal is to provide an estimate on how good or reliable the texts produced by an application are without access to gold-standard outputs. QE enables different types of evaluation that can target different types of users and applications. Machine learning techniques are used to build QE models with various types of quality labels and explicit features or learnt representations, which can then predict the quality of unseen system outputs. This book describes the topic of QE for text-to-text applications, covering quality labels, features, algorithms, evaluation, uses, and state-of-the-art approaches. It focuses on machine translation as application, since this represents most of the QE work done to date. It also briefly describes QE for several other applications, including text simplification, text summarization, grammatical error correction, and natural language generation.
Author: Alexander Gelbukh
Publisher: Springer Nature
ISBN: 3031243374
Category : Computers
Languages : en
Pages : 681
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Book Description
The two-volume set LNCS 13451 and 13452 constitutes revised selected papers from the CICLing 2019 conference which took place in La Rochelle, France, April 2019. The total of 95 papers presented in the two volumes was carefully reviewed and selected from 335 submissions. The book also contains 3 invited papers. The papers are organized in the following topical sections: General, Information extraction, Information retrieval, Language modeling, Lexical resources, Machine translation, Morphology, sintax, parsing, Name entity recognition, Semantics and text similarity, Sentiment analysis, Speech processing, Text categorization, Text generation, and Text mining.
Author:
Publisher: Academic Press
ISBN: 0080566685
Category : Computers
Languages : en
Pages : 479
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Book Description
Advances in Computers
Author: Devashish Shrivastava
Publisher: John Wiley & Sons
ISBN: 1119127300
Category : Science
Languages : en
Pages : 897
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Book Description
An authoritative guide to theory and applications of heat transfer in humans Theory and Applications of Heat Transfer in Humans 2V Set offers a reference to the field of heating and cooling of tissue, and associated damage. The author—a noted expert in the field—presents, in this book, the fundamental physics and physiology related to the field, along with some of the recent applications, all in one place, in such a way as to enable and enrich both beginner and advanced readers. The book provides a basic framework that can be used to obtain ‘decent’ estimates of tissue temperatures for various applications involving tissue heating and/or cooling, and also presents ways to further develop more complex methods, if needed, to obtain more accurate results. The book is arranged in three sections: The first section, named ‘Physics’, presents fundamental mathematical frameworks that can be used as is or combined together forming more complex tools to determine tissue temperatures; the second section, named ‘Physiology’, presents ideas and data that provide the basis for the physiological assumptions needed to develop successful mathematical tools; and finally, the third section, named ‘Applications’, presents examples of how the marriage of the first two sections are used to solve problems of today and tomorrow. This important text is the vital resource that: Offers a reference book in the field of heating and cooling of tissue, and associated damage. Provides a comprehensive theoretical and experimental basis with biomedical applications Shows how to develop and implement both, simple and complex mathematical models to predict tissue temperatures Includes simple examples and results so readers can use those results directly or adapt them for their applications Designed for students, engineers, and other professionals, a comprehensive text to the field of heating and cooling of tissue that includes proven theories with applications. The author reveals how to develop simple and complex mathematical models, to predict tissue heating and/or cooling, and associated damage.
