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Automated Essay Scoring, Klebanov


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Цена: 9781.00р.
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При оформлении заказа до: 2025-07-28
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Автор: Klebanov
Название:  Automated Essay Scoring
ISBN: 9783031010545
Издательство: Springer
Классификация:


ISBN-10: 303101054X
Обложка/Формат: Soft cover
Страницы: 294
Вес: 0.60 кг.
Дата издания: 26.11.2021
Серия: Synthesis Lectures on Human Language Technologies
Язык: English
Иллюстрации: XX, 294 p.
Размер: 235 x 191
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: In Part 2, the book presents guided exercises to illustrate how one would go about building and evaluating a simple automated scoring system, while Part 3 offers readers a survey of the literature on different types of scoring models, the aspects of essay quality studied in prior research, and the implementation and evaluation of a scoring engine.


Automated Essay Scoring

Автор: Beata Beigman Klebanov, Nitin Madnani
Название: Automated Essay Scoring
ISBN: 1636392245 ISBN-13(EAN): 9781636392240
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 17602.00 р.
Наличие на складе: Нет в наличии.

Описание:

This book discusses the state of the art of automated essay scoring, its challenges and its potential. One of the earliest applications of artificial intelligence to language data (along with machine translation and speech recognition), automated essay scoring has evolved to become both a revenue-generating industry and a vast field of research, with many subfields and connections to other NLP tasks. In this book, we review the developments in this field against the backdrop of Elias Page's seminal 1966 paper titled "The Imminence of Grading Essays by Computer."

Part 1 establishes what automated essay scoring is about, why it exists, where the technology stands, and what are some of the main issues.In Part 2, the book presents guided exercises to illustrate how one would go about building and evaluating a simple automated scoring system, while Part 3 offers readers a survey of the literature on different types of scoring models, the aspects of essay quality studied in prior research, and the implementation and evaluation of a scoring engine. Part 4 offers a broader view of the field inclusive of some neighboring areas, and Part \ref{part5} closes with summary and discussion.

This book grew out of a week-long course on automated evaluation of language production at the North American Summer School for Logic, Language, and Information (NASSLLI), attended by advanced undergraduates and early-stage graduate students from a variety of disciplines. Teachers of natural language processing, in particular, will find that the book offers a useful foundation for a supplemental module on automated scoring. Professionals and students in linguistics, applied linguistics, educational technology, and other related disciplines will also find the material here useful.

Automated Invention for Smart Industries

Автор: Denis Cavallucci; Roland De Guio; Sebastian Kozio?
Название: Automated Invention for Smart Industries
ISBN: 3030024555 ISBN-13(EAN): 9783030024550
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
Наличие на складе: Поставка под заказ.

Описание: This book constitutes the refereed proceedings of the 18th International TRIZ Future Conference on Automated Invention for Smart Industries, held in Strasbourg, France, in October 2018 and sponsored by IFIP WG 5.4.

The 27 full papers presented were carefully reviewed and selected from numerous submissions. They are organized in seven thematic sections: teaching of TRIZ; TRIZ and knowledge represenations; biomimicry; strategic company management; association between TRIZ and other methods; TRIZ and the functional approach; and the use of patent or text populations as a data source.
Teacher`s guide to successful professional learning networks: overcoming challenges and improving student outcomes

Автор: Sucher, Kathryn (san Jose State University, Professor Emerita) Safaii-waite, Seanne (university Of Idaho, Associate Professor Emerita And University O
Название: Teacher`s guide to successful professional learning networks: overcoming challenges and improving student outcomes
ISBN: 0367625806 ISBN-13(EAN): 9780367625801
Издательство: Taylor&Francis
Рейтинг:
Цена: 5358.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book examines the digitalization of longstanding problems of technological advance that produce inequalities and digital-era automated governance, which relieves subjects of agency and critical thought, prompting a need to weaponize thoughtfulness against technocratic designs.

Automated Essay Scoring

Автор: Shermis, Mark D.
Название: Automated Essay Scoring
ISBN: 0805839739 ISBN-13(EAN): 9780805839739
Издательство: Taylor&Francis
Рейтинг:
Цена: 22202.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Automated Essay Scoring

Автор: Klebanov Beata Beigman, Madnani Nitin
Название: Automated Essay Scoring
ISBN: 1636392229 ISBN-13(EAN): 9781636392226
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 14414.00 р.
Наличие на складе: Нет в наличии.

Описание:

This book discusses the state of the art of automated essay scoring, its challenges and its potential. One of the earliest applications of artificial intelligence to language data (along with machine translation and speech recognition), automated essay scoring has evolved to become both a revenue-generating industry and a vast field of research, with many subfields and connections to other NLP tasks. In this book, we review the developments in this field against the backdrop of Elias Page's seminal 1966 paper titled "The Imminence of Grading Essays by Computer."

Part 1 establishes what automated essay scoring is about, why it exists, where the technology stands, and what are some of the main issues.In Part 2, the book presents guided exercises to illustrate how one would go about building and evaluating a simple automated scoring system, while Part 3 offers readers a survey of the literature on different types of scoring models, the aspects of essay quality studied in prior research, and the implementation and evaluation of a scoring engine. Part 4 offers a broader view of the field inclusive of some neighboring areas, and Part \ref{part5} closes with summary and discussion.

This book grew out of a week-long course on automated evaluation of language production at the North American Summer School for Logic, Language, and Information (NASSLLI), attended by advanced undergraduates and early-stage graduate students from a variety of disciplines. Teachers of natural language processing, in particular, will find that the book offers a useful foundation for a supplemental module on automated scoring. Professionals and students in linguistics, applied linguistics, educational technology, and other related disciplines will also find the material here useful.

Handbook of automated scoring

Название: Handbook of automated scoring
ISBN: 1032173475 ISBN-13(EAN): 9781032173474
Издательство: Taylor&Francis
Рейтинг:
Цена: 6889.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Overview of the innovative automated scoring theory, latest development of computational methodologies, real world large-scale applications for automated scoring for complex tasks. Provides a scientifically grounded description of the key research and development efforts that it takes to move automated scoring systems into operational practice.

Handbook of Automated Essay Evaluation

Автор: Shermis, Mark D.
Название: Handbook of Automated Essay Evaluation
ISBN: 1848729952 ISBN-13(EAN): 9781848729957
Издательство: Taylor&Francis
Рейтинг:
Цена: 44405.00 р.
Наличие на складе: Поставка под заказ.

Handbook of Automated Essay Evaluation

Автор: Shermis, Mark D.
Название: Handbook of Automated Essay Evaluation
ISBN: 0415810965 ISBN-13(EAN): 9780415810968
Издательство: Taylor&Francis
Рейтинг:
Цена: 19906.00 р.
Наличие на складе: Поставка под заказ.

Automated Machine Learning for Business

Автор: R. Larsen Kai, Becker Daniel S.
Название: Automated Machine Learning for Business
ISBN: 0190941669 ISBN-13(EAN): 9780190941666
Издательство: Oxford Academ
Рейтинг:
Цена: 5780.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:
Teaches the machine learning process for business students and professionals using automated machine learning, a new development in data science that requires only a few weeks to learn instead of years of training

Though the concept of computers learning to solve a problem may still conjure thoughts of futuristic artificial intelligence, the reality is that machine learning algorithms now exist within most major software, including Websites and even word processors. These algorithms are transforming society
in the most radical way since the Industrial Revolution, primarily through automating tasks such as deciding which users to advertise to, which machines are likely to break down, and which stock to buy and sell. While this work no longer always requires advanced technical expertise, it is crucial
that practitioners and students alike understand the world of machine learning.

In this book, Kai R. Larsen and Daniel S. Becker teach the machine learning process using a new development in data science: automated machine learning (AutoML). AutoML, when implemented properly, makes machine learning accessible by removing the need for years of experience in the most arcane
aspects of data science, such as math, statistics, and computer science. Larsen and Becker demonstrate how anyone trained in the use of AutoML can use it to test their ideas and support the quality of those ideas during presentations to management and stakeholder groups. Because the requisite
investment is a few weeks rather than a few years of training, these tools will likely become a core component of undergraduate and graduate programs alike.

With first-hand examples from the industry-leading DataRobot platform, Automated Machine Learning for Business provides a clear overview of the process and engages with essential tools for the future of data science.

Planning Universal On-Road Driving Strategies for Automated Vehicles

Автор: Heinrich
Название: Planning Universal On-Road Driving Strategies for Automated Vehicles
ISBN: 365821953X ISBN-13(EAN): 9783658219536
Издательство: Springer
Рейтинг:
Цена: 7685.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Steffen Heinrich describes a motion planning system for automated vehicles.

Practical Automated Machine Learning on Azure

Автор: Mukunthu Deepak, Shah Parashar, Tok Wee Hyong
Название: Practical Automated Machine Learning on Azure
ISBN: 149205559X ISBN-13(EAN): 9781492055594
Издательство: Wiley
Рейтинг:
Цена: 7602.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Develop smart applications without spending days and weeks building machine-learning models. With this practical book, you`ll learn how to apply Automated Machine Learning, a process that uses machine learning to help people build machine learning models.

Exploring the Strategy Space of Negotiating Agents: A Framework for Bidding, Learning and Accepting in Automated Negotiation

Автор: Baarslag Tim
Название: Exploring the Strategy Space of Negotiating Agents: A Framework for Bidding, Learning and Accepting in Automated Negotiation
ISBN: 3319803050 ISBN-13(EAN): 9783319803050
Издательство: Springer
Рейтинг:
Цена: 22451.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book reports on an outstanding thesis that has significantlyadvanced the state-of-the-art in the area of automated negotiation. It describes an innovative negotiating agent frameworkthat enables systematic exploration of the space of possible negotiationstrategies by recombining different agent components.


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