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Author: Conference on Language, Data and Knowledge Publisher: ISBN: 9789895408153 Category : Languages : en Pages : 0
Book Description
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.
Author: Conference on Language, Data and Knowledge Publisher: ISBN: 9789895408153 Category : Languages : en Pages : 0
Book Description
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.
Author: Jorge Gracia Publisher: Springer ISBN: 3319598880 Category : Computers Languages : en Pages : 409
Book Description
This book constitutes the proceedings of the First International Conference on Language, Data and Knowledge, LDK 2017, held in Galway, Ireland, in June 2017. The 14 full papers and 19 short papers included in this volume were carefully reviewed and selected from 68 initial submissions. They deal with language data; knowledge graphs; applications in NLP; and use cases in digital humanities, social sciences, and BioNLP.
Author: Pan, Fang Publisher: IGI Global ISBN: Category : Language Arts & Disciplines Languages : en Pages : 406
Book Description
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.
Author: Abdelkader Hameurlain Publisher: Springer Nature ISBN: 3662668637 Category : Computers Languages : en Pages : 175
Book Description
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.
Author: Hadley Wickham Publisher: "O'Reilly Media, Inc." ISBN: 1491910364 Category : Computers Languages : en Pages : 521
Book Description
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
Author: Conference on Language, Data and Knowledge
Author: Conference on Language, Data and Knowledge
Author: Jorge Gracia
Author: De-Nian Yang
Author: Albert Bifet
Author: Meng Jiang
Author: Pan, Fang
Author: Abdelkader Hameurlain
Author: Hadley Wickham
Author: De-Shuang Huang
Author: Amon Rapp