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Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
This two-volume set LNCS 11437 and 11438 constitutes the refereed proceedings of the 41st European Conference on IR Research, ECIR 2019, held in Cologne, Germany, in April 2019. The 48 full papers presented together with 2 keynote papers, 44 short papers, 8 demonstration papers, 8 invited CLEF papers, 11 doctoral consortium papers, 4 workshop papers, and 4 tutorials were carefully reviewed and selected from 365 submissions. They were organized in topical sections named: Modeling Relations; Classification and Search; Recommender Systems; Graphs; Query Analytics; Representation; Reproducibility (Systems); Reproducibility (Application); Neural IR; Cross Lingual IR; QA and Conversational Search; Topic Modeling; Metrics; Image IR; Short Papers; Demonstration Papers; CLEF Organizers Lab Track; Doctoral Consortium Papers; Workshops; and Tutorials.
The two-volume set LNBI 11465 and LNBI 11466 constitutes the proceedings of the 7th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2019, held in Granada, Spain, in May 2019. The total of 97 papers presented in the proceedings, was carefully reviewed and selected from 301 submissions. The papers are organized in topical sections as follows: Part I: High-throughput genomics: bioinformatics tools and medical applications; omics data acquisition, processing, and analysis; bioinformatics approaches for analyzing cancer sequencing data; next generation sequencing and sequence analysis; structural bioinformatics and function; telemedicine for smart homes and remote monitoring; clustering and analysis of biological sequences with optimization algorithms; and computational approaches for drug repurposing and personalized medicine. Part II: Bioinformatics for healthcare and diseases; computational genomics/proteomics; computational systems for modelling biological processes; biomedical engineering; biomedical image analysis; and biomedicine and e-health.
This book constitutes the refereed proceedings of the 45th International Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2019, held in Novy Smokovec, Slovakia, in January 2019. The 34 full papers presented together with 6 invited talks were carefully reviewed and selected from 92 submissions. They presented new research results in the theory and practice of computer science in the each sub-area of SOFSEM 2019: Foundations of theoretical Computer Science, foundations of data science and engineering, and foundations of software engineering.
This white paper is part of a series that promotes knowledge about language technology and its potential. It addresses educators, journalists, politicians, language communities and others. The availability and use of language technology in Europe varies between languages. Consequently, the actions that are required to further support research and development of language technologies also differ for each language. The required actions depend on many factors, such as the complexity of a given language and the size of its community. META-NET, a Network of Excellence funded by the European Commission, has conducted an analysis of current language resources and technologies. This analysis focused on the 23 official European languages as well as other important national and regional languages in Europe. The results of this analysis suggest that there are many significant research gaps for each language. A more detailed expert analysis and assessment of the current situation will help maximise the impact of additional research and minimize any risks. META-NET consists of 54 research centres from 33 countries that are working with stakeholders from commercial businesses, government agencies, industry, research organisations, software companies, technology providers and European universities. Together, they are creating a common technology vision while developing a strategic research agenda that shows how language technology applications can address any research gaps by 2020.
This book constitutes the proceedings of the 20th International Conference on Descriptional Complexity of Formal Systems, DCFS 2018, held in Halifax, NS, Canada, in July 2018. The 19 full papers presented were carefully reviewed and selected from 24 submissions. DCFS is an annual international working conference concerning the descriptional complexity of formal systems and structures and its applications. Topics of interest are related to all aspects of descriptional complexity and much more.
This book constitutes extended, revised and selected papers from the 9th International Symposium of Artificial Intelligence supported by the Japanese Society for Artificial Intelligence, JSAI-isAI 2017. It was held in November 2017 in Tokyo, Japan. The 22 papers were carefully selected from 109 submissions and are organized in sections on juris-informatics, skill science, artificial intelligence of and for business, logic and engineering of natural language semantics, argument for agreement and assurance, scientific document analysis, knowledge explication for industry.
This book constitutes the refereed proceedings of the 15th Information Retrieval Technology Conference, AIRS 2019, held in Hong Kong, China, in November 2019.The 14 full papers presented together with 3 short papers were carefully reviewed and selected from 27 submissions. The scope of the conference covers applications, systems, technologies and theory aspects of information retrieval in text, audio, image, video and multimedia data.
This book constitutes the refereed post-conference proceedings of the 5th and 6th International Workshops on Computational Forensics, IWCF 2012 and IWCF 2014, held in Tsukuba, Japan, in November 2010 and August 2014. The 16 revised full papers and 1 short paper were carefully selected from 34 submissions during a thorough review process. The papers are divided into three broad areas namely biometrics; document image inspection; and applications.
In this book, application-related studies for acoustic biomedical sensors are covered in depth. The book features an array of different biomedical signals, including acoustic biomedical signals as well as the thermal biomedical signals, magnetic biomedical signals, and optical biomedical signals to support healthcare. It employs signal processing approaches, such as filtering, Fourier transform, spectral estimation, and wavelet transform. The book presents applications of acoustic biomedical sensors and bio-signal processing for prediction, detection, and monitoring of some diseases from the phonocardiogram (PCG) signal analysis. Several challenges and future perspectives related to the acoustic sensors applications are highlighted. This book supports the engineers, researchers, designers, and physicians in several interdisciplinary domains that support healthcare.
This book explains how can be created information extraction (IE) applications that are able to tap the vast amount of relevant information available in natural language sources: Internet pages, official documents such as laws and regulations, books and newspapers, and social web. Readers are introduced to the problem of IE and its current challenges and limitations, supported with examples. The book discusses the need to fill the gap between documents, data, and people, and provides a broad overview of the technology supporting IE. The authors present a generic architecture for developing systems that are able to learn how to extract relevant information from natural language documents, and illustrate how to implement working systems using state-of-the-art and freely available software tools. The book also discusses concrete applications illustrating IE uses. * Provides an overview of state-of-the-art technology in information extraction (IE), discussing achievements and limitations for the software developer and providing references for specialized literature in the area * Presents a comprehensive list of freely available, high quality software for several subtasks of IE and for several natural languages * Describes a generic architecture that can learn how to extract information for a given application domain
This book constitutes the refereed proceedings of the 28th Canadian Conference on Artificial Intelligence, Canadian AI 2015, held in Halifax, Nova Scotia, Canada, in June 2015.The 15 regular papers and 12 short papers presented together with 8 papers from the Graduate Student Symposium were carefully reviewed and selected from 81 submissions. The papers are organized in topical sections such as agents, uncertainty and games; AI applications; NLP, text and social media mining; data mining and machine learning.
Akustische Kommunikation wendet sich an alle wissenschaftlichen
Fachrichtungen, die bestrebt sind, ein anwendbares Verstandnis der
zahlreichen interdisziplinaren Sachverhalte, Zusammenhange und
Voraussetzungen der Kommunikation mit Sprache und Musik zu
erlangen. Daher werden signal- und systemtheoretische,
physikalische, elektroakustische, phonetische, musikakustische,
psychoakustische und hortheoretische Grundlagen gleichgewichtet
dargestellt.
This book constitutes the proceedings of the 15 Chinese Lexical Semantics Workshop, CLSW 2014, held in Macau, China, in June 2014. The 41 regular and 3 short papers included in this volume were carefully reviewed and selected from 139 submissions. They are organized in topical sections named: lexical semantics; applications on natural language processing; and lexical resources and corpus linguistics.
Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. This second edition has gone through a major revamp and introduces several significant changes and new topics based on the recent trends in NLP. You'll see how to use the latest state-of-the-art frameworks in NLP, coupled with machine learning and deep learning models for supervised sentiment analysis powered by Python to solve actual case studies. Start by reviewing Python for NLP fundamentals on strings and text data and move on to engineering representation methods for text data, including both traditional statistical models and newer deep learning-based embedding models. Improved techniques and new methods around parsing and processing text are discussed as well. Text summarization and topic models have been overhauled so the book showcases how to build, tune, and interpret topic models in the context of an interest dataset on NIPS conference papers. Additionally, the book covers text similarity techniques with a real-world example of movie recommenders, along with sentiment analysis using supervised and unsupervised techniques. There is also a chapter dedicated to semantic analysis where you'll see how to build your own named entity recognition (NER) system from scratch. While the overall structure of the book remains the same, the entire code base, modules, and chapters has been updated to the latest Python 3.x release. What You'll Learn * Understand NLP and text syntax, semantics and structure* Discover text cleaning and feature engineering* Review text classification and text clustering * Assess text summarization and topic models* Study deep learning for NLP Who This Book Is For IT professionals, data analysts, developers, linguistic experts, data scientists and engineers and basically anyone with a keen interest in linguistics, analytics and generating insights from textual data.
Macromedia Director fur Durchstarter ermoeglicht einen zugigen Einstieg in die Multimedia-Entwicklung mit Macromedia Director 7. Die gute didaktische Aufbereitung und ausgewogene Darstellung von Grundlagen und Beispielen aus der Praxis vermittelt bereits bei den ersten Schritten mit Director die fur spatere Produktionen richtigen Arbeitsmethoden und Techniken. Fragen nach der Gestaltung der Benutzeroberflache, der richtigen Arbeitsumgebung und weiterer Entscheidungsparameter im Vorfeld einer Multimedia-Entwicklung werden dabei ebenso behandelt, wie die unterschiedlichen Moeglichkeiten der Animation und Interaktion, der Einbindung von Bildern, Toenen und Video bis hin zu Java- und Shockwave-Unterstutzung mit Macromedia-Director. Die beiliegende CD-ROM fur Macintosh und Windows enthalt neben einer 30-Tage-Trialversion von Macromedia Director 7 UEbungsbeispiele der Autoren.
Eine grosse Wissensbasis ist eine Voraussetzung fur eine Vielzahl von Anwendungen im Bereich der automatischen Sprachverarbeitung, wie Frage-Antwort- oder Information-Retrieval-Systeme. Ein Mensch hat sich das erforderliche Wissen, um Informationen zu suchen oder Fragen zu beantworten, im Laufe seines Lebens angeeignet. Einem Computer muss dieses Wissen explizit mitgeteilt werden. Tim vor der Bruck beschreibt einen Ansatz, wie ein Computer dieses Wissen ahnlich wie ein Mensch durch die Lekture von Texten erwerben kann. Dabei kommen Methoden der Logik und des maschinellen Lernens zum Einsatz.
Fur das Management von Multimediaprojekten gab es bisher keine unternehmensubergreifenden, praxistauglichen Vorgehensmodelle, die auf spezifische Probleme der Multimediabranche zugeschnitten sind. Vorgehensmodelle aus anderen Bereichen, wie etwa der Informatik, berucksichtigen nicht das hohe Gewicht gestalterischer und wirtschaftlicher, marketingorientierter Aufgaben in Multimediaprojekten. Das vorliegende Buch leistet einen wichtigen Beitrag, die in vielen Agenturen eher noch ad hoc gefuhrten Projekte besser planbar und steuerbar zu machen. Die Autorin analysiert Vorgehensweisen und Methoden, die in der Praxis zur Schaffung kreativer Multimedia-Konzepte eingesetzt werden, und entwickelt diese zu einem allgemeingultigen Vorgehensmodell weiter. Zur Erfassung der branchenublichen Vorgehensweisen fuhrte die Autorin eine empirische Untersuchung in mehreren reprasentativen Multimedia-Agenturen durch."
Die Extensible Markup Language (XML), eine vereinfachte Version der Standard Generalized Markup Language (SGML), wurde fur den Austausch strukturierter Daten im Internet entwickelt. Informationen konnen damit nicht nur in einem einheitlichen, medienunabhangigen Format strukturiert werden, sondern auch die Strukturierungsprinzipien selbst sind durch ein formales Regelwerk, eine Grammatik, beschreibbar. Erst so werden weitergehende Verarbeitungsprozesse wie geleitete Dateneingaben, Datenkonvertierung, flexibles Navigieren und Viewing der Daten moglich. Neben der elementaren Informationsmodellierung ist mit der Meta-Strukturierung durch sog. Architekturen ein neuer Aspekt hinzugekommen: die objektorientierte Schichtung von Struktur-Grammatiken. Das vorliegende Buch stellt sowohl elementare als auch architektonische Strukturierungstechniken erstmals in zusammenhangender Form dar. Es wendet sich an Leser, die sich detailliert und praxisorientiert mit dem Thema auseinandersetzen wollen.
This book constitutes the refereed proceedings of the 4th International Conference of the CLEF Initiative, CLEF 2013, held in Valencia, Spain, in September 2013. The 32 papers and 2 keynotes presented were carefully reviewed and selected for inclusion in this volume. The papers are organized in topical sections named: evaluation and visualization; multilinguality and less-resourced languages; applications; and Lab overviews.
Die internationale Forschung dokurnentiert, daB verschiedene Disziplinen, die traditio nellerweise als systematisch separiert galten und entsprechend auch institutionell getrennt waren, aufgrund der internen Logik ihrer Entwicklung sich im Rahmen ergiinzender Fragestellungen einander niihern. Zur Kognitionswissenschaft wachsen derzeit insbesondere Teile der Linguistik, der Psychologie und der "Kiinstliche Intelligenz" genannte Zweig der Informatik zusammen. Diese neue wissenschaftliche Disziplin entsteht unter den Vorzeichen des vereinheitlichenden Paradigmas der informationsverarbeitenden Systeme. Die Kognitive Linguistik ist ein Ergebnis dieses Wissenschaftsentwicklungsprozesses, der somit ihre Zielsetzungen, Formen der Theo riebildung und empirischen Vorgehensweisen bestimmt. 1m allgemeinen Rahmen der Kognitionswissenschaft werden Prozesse der visuellen und auditiven Wahrnehmung, Prozesse der Problemlosung und Handlungsplanung sowie Handlungsdurchfiihrung etc. thematisiert, und zwar im Hinblick auf Menschen und Maschinen. Entsprechend untersucht die Kognitionswissenschaft samtliche Aspek te der Struktur, der Dynamik und der Genese kognitiver Systeme sowie, speziell im organischen Fall, die zwischen physikalischer Organisation und kognitiver Struktur bestehenden Interaktionen. Der Gegenstandsbereich der Kognitiven Linguistik stellt einen systematischen Ausschnitt des Erkenntnisinteresses der Kognitionswissenschaft dar. In der Kognitiven Linguistik geht es urn jene kognitiven Strukturen und Prozes se, die dem Menschen qua homo loquens eigen sind. In diesem Rahmen sollen die Mechanismen der menschlichen Sprachbeherrschung und die sie strukturierenden Prinzipien einer systematischen Beschreibung und Erkliirung zugefUhrt werden, und zwar in den Dimensionen der Repriisentation, Produktion und Rezeption: Repriisentation Die Reprasentation der mentalen Mechanismen der Sprachbeherrschung und der Prinzipien ihrer Strukturierung ist eine fundamentale Komponente im Schwer punktprogramm."
DTP kreativ ist eine Fundgrube fur Graphikdesigner und Layouter,
die mit QuarkXPress oder Adobe PageMaker erstellte Anzeigen,
Zeitschriften oder Bucher schnell und effizient aufwerten wollen.
Ausfuhrliche step-by-step-Anleitungen und zahlreiche Tips &
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Create your own natural language training corpus for machine learning. Whether you're working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle--the process of adding metadata to your training corpus to help ML algorithms work more efficiently. You don't need any programming or linguistics experience to get started. Using detailed examples at every step, you'll learn how the "MATTER Annotation Development Process" helps you Model, Annotate, Train, Test, Evaluate, and Revise your training corpus. You also get a complete walkthrough of a real-world annotation project.Define a clear annotation goal before collecting your dataset (corpus)Learn tools for analyzing the linguistic content of your corpusBuild a model and specification for your annotation projectExamine the different annotation formats, from basic XML to the Linguistic Annotation FrameworkCreate a gold standard corpus that can be used to train and test ML algorithmsSelect the ML algorithms that will process your annotated dataEvaluate the test results and revise your annotation taskLearn how to use lightweight software for annotating texts and adjudicating the annotations This book is a perfect companion to O'Reilly's "Natural Language Processing with Python."
Potentiality, Entanglement and Passion-at-a-Distance is a book for theoretical physicists and philosophers of modern physics. It treats a puzzling and provocative aspect of recent quantum physics: the apparent interaction of certain physical events that cannot share any causal connection. These are said to be entangled' in some way, but an explanation remains elusive. Abner Shimony - to whom the book is dedicated - and others suggest the need to revive the category of what may be seen as a metaphysical potentiality. Abner has described these events without actions to link them as passion at a distance': not active, but passive. The discussions gathered here are written by a truly remarkable cast of scientists and philosophers and shed new light on the most profound puzzles of our times.
The Information Management Systems group at the University of Padua has been a major contributor to information retrieval (IR) and digital libraries. The papers in this book include coverage of automated text categorizations, web link analysis algorithms, retrieval in multimedia digital libraries, and multilingual information retrieval. The text will appeal to institutions and companies working on search engines and information retrieval algorithms. |
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