Question Answering for the Curated Web PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Question Answering for the Curated Web PDF full book. Access full book title Question Answering for the Curated Web by Rishiraj Saha Roy. Download full books in PDF and EPUB format.
Author: Rishiraj Saha Roy
Publisher: Springer Nature
ISBN: 3031795121
Category : Mathematics
Languages : en
Pages : 172
Get Book Here
Book Description
Question answering (QA) systems on the Web try to provide crisp answers to information needs posed in natural language, replacing the traditional ranked list of documents. QA, posing a multitude of research challenges, has emerged as one of the most actively investigated topics in information retrieval, natural language processing, and the artificial intelligence communities today. The flip side of such diverse and active interest is that publications are highly fragmented across several venues in the above communities, making it very difficult for new entrants to the field to get a good overview of the topic. Through this book, we make an attempt towards mitigating the above problem by providing an overview of the state-of-the-art in question answering. We cover the twin paradigms of curated Web sources used in QA tasks ‒ trusted text collections like Wikipedia, and objective information distilled into large-scale knowledge bases. We discuss distinct methodologies that have been applied to solve the QA problem in both these paradigms, using instantiations of recent systems for illustration. We begin with an overview of the problem setup and evaluation, cover notable sub-topics like open-domain, multi-hop, and conversational QA in depth, and conclude with key insights and emerging topics. We believe that this resource is a valuable contribution towards a unified view on QA, helping graduate students and researchers planning to work on this topic in the near future.
Author: Rishiraj Saha Roy
Publisher: Springer Nature
ISBN: 3031795121
Category : Mathematics
Languages : en
Pages : 172
Get Book Here
Book Description
Question answering (QA) systems on the Web try to provide crisp answers to information needs posed in natural language, replacing the traditional ranked list of documents. QA, posing a multitude of research challenges, has emerged as one of the most actively investigated topics in information retrieval, natural language processing, and the artificial intelligence communities today. The flip side of such diverse and active interest is that publications are highly fragmented across several venues in the above communities, making it very difficult for new entrants to the field to get a good overview of the topic. Through this book, we make an attempt towards mitigating the above problem by providing an overview of the state-of-the-art in question answering. We cover the twin paradigms of curated Web sources used in QA tasks ‒ trusted text collections like Wikipedia, and objective information distilled into large-scale knowledge bases. We discuss distinct methodologies that have been applied to solve the QA problem in both these paradigms, using instantiations of recent systems for illustration. We begin with an overview of the problem setup and evaluation, cover notable sub-topics like open-domain, multi-hop, and conversational QA in depth, and conclude with key insights and emerging topics. We believe that this resource is a valuable contribution towards a unified view on QA, helping graduate students and researchers planning to work on this topic in the near future.
Author: Sandra Kübler
Publisher: Morgan & Claypool Publishers
ISBN: 1598295969
Category : Computers
Languages : en
Pages : 128
Get Book Here
Book Description
Dependency-based methods for syntactic parsing have become increasingly popular in natural language processing in recent years. This book gives a thorough introduction to the methods that are most widely used today. After an introduction to dependency grammar and dependency parsing, followed by a formal characterization of the dependency parsing problem, the book surveys the three major classes of parsing models that are in current use: transition-based, graph-based, and grammar-based models. It continues with a chapter on evaluation and one on the comparison of different methods, and it closes with a few words on current trends and future prospects of dependency parsing. The book presupposes a knowledge of basic concepts in linguistics and computer science, as well as some knowledge of parsing methods for constituency-based representations. Table of Contents: Introduction / Dependency Parsing / Transition-Based Parsing / Graph-Based Parsing / Grammar-Based Parsing / Evaluation / Comparison / Final Thoughts
Author: Stone Maria
Publisher: Springer Nature
ISBN: 3031792165
Category : Computers
Languages : en
Pages : 87
Get Book Here
Book Description
This book is intended for anyone interested in learning more about how search works and how it is evaluated. We all use search—it's a familiar utility. Yet, few of us stop and think about how search works, what makes search results good, and who, if anyone, decides what good looks like. Search has a long and glorious history, yet it continues to evolve, and with it, the measurement and our understanding of the kinds of experiences search can deliver continues to evolve, as well. We will discuss the basics of how search engines work, how humans use search engines, and how measurement works. Equipped with these general topics, we will then dive into the established ways of measuring search user experience, and their pros and cons. We will talk about collecting labels from human judges, analyzing usage logs, surveying end users, and even touch upon automated evaluation methods. After introducing different ways of collecting metrics, we will cover experimentation as it applies to search evaluation. The book will cover evaluating different aspects of search—from search user interface (UI), to results presentation, to the quality of search algorithms. In covering these topics, we will touch upon many issues in evaluation that became sources of controversy—from user privacy, to ethical considerations, to transparency, to potential for bias. We will conclude by contrasting measuring with understanding, and pondering the future of search evaluation.
Author: Crystal Kadakia
Publisher: Association for Talent Development
ISBN: 195049666X
Category : Business & Economics
Languages : en
Pages : 359
Get Book Here
Book Description
Meet Learning Needs With New Tools and New Thinking Learning is no longer an activity or luxury that only occurs at specific stages in your life or career. With the digital revolution, learning has become immediate, real-time, and relevant whether you’re young, old, in the workforce, in school, or at home. As a learning and development professional, you’ve likely confronted the digital learning revolution armed with instructional design models from the pre-digital world. But today’s digital universe has a new model to address its wealth of new technologies and a new philosophy of learning experience design: learning cluster design. Designing for Modern Learning: Beyond ADDIE and SAM offers you and your learners a new way to learn. It describes the fundamental shift that has occurred in the nature of L&D’s role as a result of the digital revolution and introduces a new five-step model: the Owens-Kadakia Learning Cluster Design Model (OK-LCD Model), a new five-step model for training design that meets the needs of modern learning. The model’s five steps or actions are an easy-to-follow mnemonic, CLUSTER: Change on-the-job behavior Learn learner-to-learner differences Upgrade existing assets Surround learning with meaningful assets Track transformation of Everyone’s Results. In each chapter, the authors share stories of business leaders, L&D professionals, and learners who have successfully adopted the OK-LCD Model, detailing how they altered organizational mindsets to meet the needs of modern learners and their organizations. Included are how-to features, tools, tips, and real-life “in practice” sections. This is an exciting time to be in L&D. It’s time to join the revolution.
Author: Juanzi Li
Publisher: Springer
ISBN: 3319252070
Category : Computers
Languages : en
Pages : 612
Get Book Here
Book Description
This book constitutes the refereed proceedings of the 4th CCF Conference, NLPCC 2015, held in Nanchang, China, in October 2015. The 35 revised full papers presented together with 22 short papers were carefully reviewed and selected from 238 submissions. The papers are organized in topical sections on fundamentals on language computing; applications on language computing; NLP for search technology and ads; web mining; knowledge acquisition and information extraction.
Author: Aleš Leonardis
Publisher: Springer Nature
ISBN: 3031731131
Category :
Languages : en
Pages : 569
Get Book Here
Book Description
Author: Frederick L. Dillon
Publisher: Corwin Press
ISBN: 1071870807
Category : Education
Languages : en
Pages : 159
Get Book Here
Book Description
Let’s face it, teaching secondary math can be hard. So much about how we teach math today may look and feel different from how we learned it. Teaching math in a student-centered way changes the role of the teacher from one who traditionally "delivers knowledge" to one who fosters thinking. Most importantly, we must ensure our practice gives each and every student the opportunity to learn, grow, and achieve at high levels, while providing opportunities to develop their agency and authority in the classroom which results in a positive math identity. Whether you are a brand new teacher or a veteran, if you find teaching math to be quite the challenge, this is the guide you want by your side. Designed for just-in-time learning and support, this practical resource gives you brief, actionable answers to your most pressing questions about teaching secondary math. Written by four experienced math educators representing diverse experiences, these authors offer the practical advice they wish they received years ago, from lessons they′ve learned over decades of practice, research, coaching, and through collaborating with teams, teachers and colleagues—especially new teachers—every day. Questions and answers are organized into five areas of effort that will help you most thrive in your secondary math classroom: How do I build a positive math community? How do I structure, organize, and manage my math class? How do I engage my students in math? How do I help my students talk about math? How do I know what my students know and move them forward? Woven throughout, you′ll find helpful sidebar notes on fostering identity and agency; access and equity; teaching in different settings; and invaluable resources for deeper learning. The final question—Where do I go from here?— offers guidance for growing your practice over time. Strive to become the best math educator you can be; your students are counting on it! What will be your first step on the journey?
Author: David Guralnick
Publisher: Springer Nature
ISBN: 3030906779
Category : Technology & Engineering
Languages : en
Pages : 451
Get Book Here
Book Description
This book covers the topics such as online learning methodologies, case studies, new technologies in learning (such as virtual reality, augmented reality, holograms, and artificial intelligence), adaptive learning, and project-based learning. New technologies provide us with new opportunities to create new learning experiences, leveraging research from a variety of disciplines along with imagination and creativity. The Learning Ideas Conference was created to bring researchers, practitioners, and others together to discuss, innovate, and create. The Learning Ideas Conference 2021 was the 14th annual conference and the first under its new name (following on its predecessors, the International Conference on E-Learning in the Workplace and the International Conference on Interactive Collaborative and Blended Learning). The conference was held online from June 14-18, 2021, and included two special tracks: The ALICE (Adaptive Learning via Interactive, Collaborative and Emotional Approaches) Special Track and a track entitled Building a University of Tomorrow, from the Xi'an Jiaotong-Liverpool University (XJTLU) in China. The papers included in this book may be of interest to researchers in pedagogy and learning theory, university faculty members and administrators, learning and development specialists, user experience designers, and others.
Author: G.G. Lee
Publisher: Springer
ISBN: 3319192914
Category : Computers
Languages : en
Pages : 269
Get Book Here
Book Description
This book covers state-of-the-art topics on the practical implementation of Spoken Dialog Systems and intelligent assistants in everyday applications. It presents scientific achievements in language processing that result in the development of successful applications and addresses general issues regarding the advances in Spoken Dialog Systems with applications in robotics, knowledge access and communication. Emphasis is placed on the following topics: speaker/language recognition, user modeling / simulation, evaluation of dialog system, multi-modality / emotion recognition from speech, speech data mining, language resource and databases, machine learning for spoken dialog systems and educational and healthcare applications.
Author: Jorge Gracia
Publisher: Springer
ISBN: 3319598880
Category : Computers
Languages : en
Pages : 409
Get Book Here
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.
