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Routledge Q&As give you the tools to practice and refine your exam technique, showing you how to apply your knowledge to maximum effect in an exam situation. Each book contains up to fifty essay and problem-based questions on the most commonly examined topics, complete with expert guidance and fully worked model answers. These new editions for 2013-2014 will provide you with the skills you need for your exams by: Helping you to be prepared: each title in the series has an introduction presenting carefully tailored advice on how to approach assessment for your subject Showing you what examiners are looking for: each question is annotated with both a short overview on how to approach your answer, as well as footnoted commentary that demonstrate how model answers meet marking criteria Offering pointers on how to gain marks, as well as what common errors could lose them: ‘Aim Higher’ and ‘Common Pitfalls’ offer crucial guidance throughout Helping you to understand and remember the law: diagrams for each answer work to illuminate difficult legal principles and provide overviews of how model answers are structured Books in the series are also supported by a Companion Website that offers online essay-writing tutorials, podcasts, bonus Q&As and multiple-choice questions to help you focus your revision more effectively.
Routledge Q&As give you the tools to practice and refine your exam technique, showing you how to apply your knowledge to maximum effect in assessment. Each book contains essay and problem-based questions on the most commonly examined topics, complete with expert guidance and model answers that help you to: Plan your revision and know what examiners are looking for: Introducing how best to approach revision in each subject Identifying and explaining the main elements of each question, and providing marker annotation to show how examiners will read your answer Understand and remember the law: Using memorable diagram overviews for each answer to demonstrate how the law fits together and how best to structure your answer Gain marks and understand areas of debate: Providing revision tips and advice to help you aim higher in essays and exams Highlighting areas that are contentious and on which you will need to form an opinion Avoid common errors: Identifying common pitfalls students encounter in class and in assessment The series is supported by an online resource that allows you to test your progress during the run-up to exams. Features include: multiple choice questions, bonus Q&As and podcasts.
Routledge Q&As give you the tools to practice and refine your exam technique, showing you how to apply your knowledge to maximum effect in an exam situation. Each book contains up to fifty essay and problem-based questions on the most commonly examined topics, complete with expert guidance and fully worked model answers. These books provide you with the skills you need for your exams by: Helping you to be prepared: each title in the series has an introduction presenting carefully tailored advice on how to approach assessment for your subject Showing you what examiners are looking for: each question is annotated with both a short overview on how to approach your answer, as well as footnoted commentary that demonstrate how model answers meet marking criteria Offering pointers on how to gain marks, as well as what common errors could lose them: ‘Aim Higher’ and ‘Common Pitfalls’ offer crucial guidance throughout Helping you to understand and remember the law: diagrams for each answer work to illuminate difficult legal principles and provide overviews of how model answers are structured Books in the series are also supported by a Companion Website that offers online essay-writing tutorials, podcasts, bonus Q&As and multiple-choice questions to help you focus your revision more effectively.
This book constitutes the refereed proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence, AI 2009, held in Melbourne, Australia, in December 2009. The 68 revised full papers presented were carefully reviewed and selected from 174 submissions. The papers are organized in topical sections on agents; AI applications; computer vision and image processing; data mining and statistical learning; evolutionary computing; game playing; knowledge representation and reasoning; natural language and speech processing; soft computing; and user modelling.
The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis. New to the Second Edition Greater prominence of statistical approaches New applications section Broader multilingual scope to include Asian and European languages, along with English An actively maintained wiki (http://handbookofnlp.cse.unsw.edu.au) that provides online resources, supplementary information, and up-to-date developments Divided into three sections, the book first surveys classical techniques, including both symbolic and empirical approaches. The second section focuses on statistical approaches in natural language processing. In the final section of the book, each chapter describes a particular class of application, from Chinese machine translation to information visualization to ontology construction to biomedical text mining. Fully updated with the latest developments in the field, this comprehensive, modern handbook emphasizes how to implement practical language processing tools in computational systems.
This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2013, held in New York, USA in July 2013. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The papers cover the topics ranging from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.
"This book provides relevant theoretical frameworks and the latest empirical research findings in biomedicine information retrieval as it pertains to linguistic granularity"--Provided by publisher.

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