Download or read book Language Data and Knowledge 2023 written by Conference on Language, Data and Knowledge and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the 4th Conference on Language, Data and Knowledge held in Vienna, Austria, from 12-15 September 2023. Language, Data and Knowledge (LDK) is a biennial conference series on matters of human language technology, data science, and knowledge representation. This fourth edition of the LDK conference is hosted by the University of Vienna in Vienna, Austria. Significant support was provided by the NexusLinguarum COST Action CA18209, “European network for Web-centred linguistic data science”, and by the following sponsors: the Coreon team and the Vienna Convention Bureau, as a department of the Vienna Tourist Board.
Download or read book Machine Learning and Knowledge Discovery in Databases Applied Data Science Track written by Albert Bifet and published by Springer Nature. This book was released on with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Natural Scientific Language Processing and Research Knowledge Graphs written by Georg Rehm and published by Springer Nature. This book was released on with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advances in Knowledge Discovery and Data Mining written by De-Nian Yang and published by Springer Nature. This book was released on with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book AI in Language Teaching Learning and Assessment written by Pan, Fang and published by IGI Global. This book was released on 2024-02-12 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: The introduction of Artificial Intelligence (AI) has ignited a fervent academic discourse. AI's role is as both a powerful ally and a potential adversary in education. For instance, ChatGPT is a generative AI which mimics human conversation with impressive precision. Its capabilities span the educational spectrum, from answering questions and generating essays to composing music and coding. Yet, as with any innovation, its advent has sparked a spirited academic dialogue. AI in Language Teaching, Learning, and Assessment seeks to address these concerns with rigor and thoughtfulness. It explores the undeniable drawbacks of AI in language education and offers strategic insights into their prevention. It scrutinizes the resources and safeguards required to ensure the ethical and secure integration of AI in academic settings. This book lays out the multifaceted benefits of incorporating AI into language teaching, learning, and assessment. Its chapters dissect the transformative impact of AI on pedagogy, teaching materials, assessment methodologies, applied linguistics, and the broader landscape of language education development. This book is a valuable resource for language learners, educators, researchers, and scholars alike. It beckons to those who are keen on exploring and implementing AI in education, as well as AI developers and experts seeking to bridge the chasm between technology and language education.
Download or read book Knowledge augmented Methods for Natural Language Processing written by Meng Jiang and published by Springer Nature. This book was released on with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Transactions on Large Scale Data and Knowledge Centered Systems LIII written by Abdelkader Hameurlain and published by Springer Nature. This book was released on 2023-02-08 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNCS journal Transactions on Large-scale Data and Knowledge-centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g. computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 53rd issue of Transactions on Large-scale Data and Knowledge-centered Systems, contains six fully revised selected regular papers. Topics covered include time series management from edge to cloud, segmentation for time series representation, similarity research, semantic similarity in a taxonomy, linked data semantic distance, linguistics-informed natural language processing, graph neural network, protected features, imbalanced data, causal consistency in distributed databases, actor model, and elastic horizontal scalability.
Download or read book Linked Data in Linguistics written by Christian Chiarcos and published by Springer Science & Business Media. This book was released on 2012-02-21 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: The explosion of information technology has led to substantial growth of web-accessible linguistic data in terms of quantity, diversity and complexity. These resources become even more useful when interlinked with each other to generate network effects. The general trend of providing data online is thus accompanied by newly developing methodologies to interconnect linguistic data and metadata. This includes linguistic data collections, general-purpose knowledge bases (e.g., the DBpedia, a machine-readable edition of the Wikipedia), and repositories with specific information about languages, linguistic categories and phenomena. The Linked Data paradigm provides a framework for interoperability and access management, and thereby allows to integrate information from such a diverse set of resources. The contributions assembled in this volume illustrate the band-width of applications of the Linked Data paradigm for representative types of language resources. They cover lexical-semantic resources, annotated corpora, typological databases as well as terminology and metadata repositories. The book includes representative applications from diverse fields, ranging from academic linguistics (e.g., typology and corpus linguistics) over applied linguistics (e.g., lexicography and translation studies) to technical applications (in computational linguistics, Natural Language Processing and information technology). This volume accompanies the Workshop on Linked Data in Linguistics 2012 (LDL-2012) in Frankfurt/M., Germany, organized by the Open Linguistics Working Group (OWLG) of the Open Knowledge Foundation (OKFN). It assembles contributions of the workshop participants and, beyond this, it summarizes initial steps in the formation of a Linked Open Data cloud of linguistic resources, the Linguistic Linked Open Data cloud (LLOD).
Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Download or read book Advanced Intelligent Computing Technology and Applications written by De-Shuang Huang and published by Springer Nature. This book was released on with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advances in Knowledge Discovery and Data Mining written by Hisashi Kashima and published by Springer Nature. This book was released on 2023-05-29 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25–28, 2023. The 143 papers presented in these proceedings were carefully reviewed and selected from 813 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.
Download or read book Applied Machine Learning and Data Analytics written by M. A. Jabbar and published by Springer Nature. This book was released on with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advances in Knowledge Discovery and Data Mining written by Hisashi Kashima and published by Springer Nature. This book was released on 2023-05-26 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25–28, 2023. The 143 papers presented in these proceedings were carefully reviewed and selected from 813 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.
Download or read book IJCoL Italian Journal of Computational Linguistics vol 10 n 1 june 2024 written by AA.VV. and published by Accademia University Press. This book was released on 2024-07-30 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adapting BLOOM to a new language: A case study for the Italian Pierpaolo Basile, Lucia Siciliani, Elio Musacchio, Marco Polignano, Giovanni Semeraro U-DepPLLaMA: Universal Dependency Parsing via Auto-regressive Large Language Models Claudiu Daniel Hromei, Danilo Croce, Roberto Basili Investigating Text Difficulty and Prerequisite Relation Identification Chiara Alzetta Italian Linguistic Features for Toxic Language Detection in Social Media Leonardo Grotti Publishing the Dictionary of Medieval Latin in the Czech Lands as Linked Data in the LiLa Knowledge Base Federica Gamba, Marco Carlo Passarotti, Paolo Ruffolo
Download or read book Advances in Computer Graphics written by Nadia Magnenat-Thalmann and published by Springer Nature. This book was released on 2023-01-01 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 39th Computer Graphics International Conference on Advances in Computer Graphics, CGI 2022, held Virtually, during September 12–16, 2022. The 45 full papers included in this book were carefully reviewed and selected from 139 submissions. They were organized in topical sections as follows: image analysis & processing; graphs & networks; estimation & feature matching; 3d reconstruction; rendering & animation; detection & recognition; colors, paintings & layout; synthesis & generation; ar & user interfaces; medical imaging; segmentation; object detection; image attention & perception; and modeling & simulation.
Download or read book Applying Cognitive Linguistics to Second Language Learning and Teaching written by Jeannette Littlemore and published by Springer Nature. This book was released on 2023-10-27 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a revised and updated edition of a seminal text in the field of Cognitive Linguistics, written in an engaging and accessible style for a new generation of scholars and students. The author surveys and incorporates a wealth of more recent studies conducted in different areas since the book’s original publication in 2009, exploring how new areas of research within Cognitive Linguistics have emerged and flourished, and taking account of key studies that have progressed the field since its inception. This new edition has been revised throughout to review, analyse and synthesise the latest state of the art in Cognitive Linguistics–inspired second language learning and teaching research, and suggests other areas that might benefit from further exploration. It will be essential reading for academics, educators and students across Linguistics and Education, particularly those with an interest in cognitive linguistics, second language acquisition, foreign language teaching and language education.
Download or read book The Learning Mindset written by Katja Schipperheijn and published by Kogan Page Publishers. This book was released on 2024-08-03 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developing a learning mindset is essential in a rapidly changing world. But how can you adopt this approach? What qualities do you need? What role do technology and neuroscience play? How can it boost innovation, problem-solving and collaboration? The Learning Mindset has the answers. Written by an international learning expert, this book explains what a learning mindset is and what the benefits are for individuals, teams and the wider organization. It covers the competencies needed for this approach such as imagination, curiosity, consilience, empathy and openness. This book shows how these traits can be developed in everyone, whilst still celebrating their individual differences. This essential guide outlines how to overcome negative emotions and embrace learning, how to foster social collaboration and lean learning, how to become a learning leader and how a learning approach can turn challenges into opportunities. There is also coverage of the neuroscience of learning, the importance of diversity for innovation, the evolution of artificial intelligence and how humans and technology can work in symbiosis for the best results. Packed full of insights, advice, practical guidance and interviews from leaders at global companies, this is crucial reading for everyone looking to develop a learning mindset in themselves, their teams or their organizations to thrive in a constantly changing world.
