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Text Retrieval
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Book Synopsis Introduction to Information Retrieval by : Christopher D. Manning
Download or read book Introduction to Information Retrieval written by Christopher D. Manning and published by Cambridge University Press. This book was released on 2008-07-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
Book Synopsis Text Retrieval Systems In Information Management by : G G Chowdhury
Download or read book Text Retrieval Systems In Information Management written by G G Chowdhury and published by New Age International. This book was released on 1996 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Book Aims At Helping The Reader Develop A Clear Under- Standing Of Text Retrieval Systems, Including Its Nature And Characteristics; Steps To Be Followed In Developing A Text Retrieval System; Software Packages Available For The Purpose; Guidelines For Choosing An Appropriate Software, And So On. To Make The Text Suitable For All Kinds Of Readers, Chapters And The Basics Of Database Technology, Database Management, And File Structures Appropriate For Text Retrieval Systems Have Been Provided. This Book Also Discusses The Major Features Of Library Management Systems (Lmss), The Software Packages Used For Automating Library House-Keeping Operations.The Trend Is To Developing Systems Which Can Provide The Actual Information Sought By The Use Rather Than Reference To The Information Sources Or Part Of The Text Where The Search Term Appears. Such Systems Apply Expert Systems And Natural Language Processing Techniques, And Are Called Knowledge-Based Systems (Kbss). This Book Describes Features Of These Systems And Mentions Some Of The Applications Of Kbss In Library And Information Activities.
Book Synopsis Indexing and Retrieval of Non-Text Information by : Diane Rasmussen Neal
Download or read book Indexing and Retrieval of Non-Text Information written by Diane Rasmussen Neal and published by Walter de Gruyter. This book was released on 2012-10-30 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: The scope of this volume will encompass a collection of research papers related to indexing and retrieval of online non-text information. In recent years, the Internet has seen an exponential increase in the number of documents placed online that are not in textual format. These documents appear in a variety of contexts, such as user-generated content sharing websites, social networking websites etc. and formats, including photographs, videos, recorded music, data visualizations etc. The prevalence of these contexts and data formats presents a particularly challenging task to information indexing and retrieval research due to many difficulties, such as assigning suitable semantic metadata, processing and extracting non-textual content automatically, and designing retrieval systems that "speak in the native language" of non-text documents.
Book Synopsis Text Data Management and Analysis by : ChengXiang Zhai
Download or read book Text Data Management and Analysis written by ChengXiang Zhai and published by Morgan & Claypool. This book was released on 2016-06-30 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. This has led to an increasing demand for powerful software tools to help people analyze and manage vast amounts of text data effectively and efficiently. Unlike data generated by a computer system or sensors, text data are usually generated directly by humans, and are accompanied by semantically rich content. As such, text data are especially valuable for discovering knowledge about human opinions and preferences, in addition to many other kinds of knowledge that we encode in text. In contrast to structured data, which conform to well-defined schemas (thus are relatively easy for computers to handle), text has less explicit structure, requiring computer processing toward understanding of the content encoded in text. The current technology of natural language processing has not yet reached a point to enable a computer to precisely understand natural language text, but a wide range of statistical and heuristic approaches to analysis and management of text data have been developed over the past few decades. They are usually very robust and can be applied to analyze and manage text data in any natural language, and about any topic. This book provides a systematic introduction to all these approaches, with an emphasis on covering the most useful knowledge and skills required to build a variety of practically useful text information systems. The focus is on text mining applications that can help users analyze patterns in text data to extract and reveal useful knowledge. Information retrieval systems, including search engines and recommender systems, are also covered as supporting technology for text mining applications. The book covers the major concepts, techniques, and ideas in text data mining and information retrieval from a practical viewpoint, and includes many hands-on exercises designed with a companion software toolkit (i.e., MeTA) to help readers learn how to apply techniques of text mining and information retrieval to real-world text data and how to experiment with and improve some of the algorithms for interesting application tasks. The book can be used as a textbook for a computer science undergraduate course or a reference book for practitioners working on relevant problems in analyzing and managing text data.
Book Synopsis Text Retrieval and Filtering by : Robert M. Losee
Download or read book Text Retrieval and Filtering written by Robert M. Losee and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text Retrieval and Filtering: Analytical Models of Performance is the first book that addresses the problem of analytically computing the performance of retrieval and filtering systems. The book describes means by which retrieval may be studied analytically, allowing one to describe current performance, predict future performance, and to understand why systems perform as they do. The focus is on retrieving and filtering natural language text, with material addressing retrieval performance for the simple case of queries with a single term, the more complex case with multiple terms, both with term independence and term dependence, and for the use of grammatical information to improve performance. Unambiguous statements of the conditions under which one method or system will be more effective than another are developed. Text Retrieval and Filtering: Analytical Models of Performance focuses on the performance of systems that retrieve natural language text, considering full sentences as well as phrases and individual words. The last chapter explicitly addresses how grammatical constructs and methods may be studied in the context of retrieval or filtering system performance. The book builds toward solving this problem, although the material in earlier chapters is as useful to those addressing non-linguistic, statistical concerns as it is to linguists. Those interested in grammatical information should be cautioned to carefully examine earlier chapters, especially Chapters 7 and 8, which discuss purely statistical relationships between terms, before moving on to Chapter 10, which explicitly addresses linguistic issues. Text Retrieval and Filtering: Analytical Models of Performance is suitable as a secondary text for a graduate level course on Information Retrieval or Linguistics, and as a reference for researchers and practitioners in industry.
Book Synopsis Anaphora Resolution and Text Retrieval by : Helene Schmolz
Download or read book Anaphora Resolution and Text Retrieval written by Helene Schmolz and published by Walter de Gruyter GmbH & Co KG. This book was released on 2015-03-30 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers anaphora resolution for the English language from a linguistic and computational point of view. First, a definition of anaphors that applies to linguistics as well as information technology is given. On this foundation, all types of anaphors and their characteristics for English are outlined. To examine how frequent each type of anaphor is, a corpus of different hypertexts has been established and analysed with regard to anaphors. The most frequent type are non-finite clause anaphors - a type which has never been investigated so far. Therefore, the potential of non-finite clause anaphors are further explored with respect to anaphora resolution. After presenting the fundamentals of computational anaphora resolution and its application in text retrieval, rules for resolving non-finite clause anaphors are established. Therefore, this book shows that a truly interdisciplinary approach can achieve results which would not have been possible otherwise. Open Access: In July 2019, this volume was retroactively turned into an Open Access publication thanks to the support of the Fachinformationsdienst Linguistik. https://www.linguistik.de/
Book Synopsis Overview of the Third Text REtrieval Conference (TREC-3) by : Donna K. Harman
Download or read book Overview of the Third Text REtrieval Conference (TREC-3) written by Donna K. Harman and published by DIANE Publishing. This book was released on 1995 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: Held in Gaithersburg, MD, August November 2-4, 1994. The conference was co-sponsored by the National Inst. of Standards and Technology (NIST) and the Advanced Research Projects Agency (ARPA) and was attended by 150 people involved in the 32 participating groups. Evaluates new technologies in text retrieval. Includes 34 papers: indexing structures, fragmentation schemes, probabilistic retrieval, latent semantic indexing, interactive document retrieval, and much more. Numerous graphs, tables and charts.
Book Synopsis First Text Retrieval Conference (TREC-1) by : D. K. Harman
Download or read book First Text Retrieval Conference (TREC-1) written by D. K. Harman and published by DIANE Publishing. This book was released on 1995-10 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: Held in Gaithersburg, MD, Nov. 4-6, 1992. Evaluates new technologies in information retrieval. Numerous graphs, tables and charts.
Book Synopsis The Second Text REtrieval Conference (TREC-2) by : Donna K. Harman
Download or read book The Second Text REtrieval Conference (TREC-2) written by Donna K. Harman and published by . This book was released on 1994 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Text Retrieval Conference, 4th by : D. K. Harman
Download or read book Text Retrieval Conference, 4th written by D. K. Harman and published by DIANE Publishing. This book was released on 1998-07 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt: Need new summary
Book Synopsis Multilingual Information Access Evaluation I - Text Retrieval Experiments by : Carol Peters
Download or read book Multilingual Information Access Evaluation I - Text Retrieval Experiments written by Carol Peters and published by Springer Science & Business Media. This book was released on 2010-09-13 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the 10th Workshop of the Cross Language Evaluation Forum, CLEF 2010, held in Corfu, Greece, in September/October 2009. The volume reports experiments on various types of textual document collections. It is divided into six main sections presenting the results of the following tracks: Multilingual Document Retrieval (Ad-Hoc), Multiple Language Question Answering (QA@CLEF), Multilingual Information Filtering (INFILE@CLEF), Intellectual Property (CLEF-IP) and Log File Analysis (LogCLEF), plus the activities of the MorphoChallenge Program.
Book Synopsis A Machine Translation Approach to Cross Language Text Retrieval by : María Gabriela Fernandez-Diaz
Download or read book A Machine Translation Approach to Cross Language Text Retrieval written by María Gabriela Fernandez-Diaz and published by Universal-Publishers. This book was released on 2005-03 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cross Language Text Retrieval (CLTR) has been defined as the retrieval of documents in a language different from that of the original query. To make this possible some kind of mechanism has to be applied in order to translate the information contained in the source sentence. Many different approaches have been carried out with the purpose of transferring the information from the source language query to the target language one. Though all these methods deal with a way of translating as much information as possible from the source query, little research has been conducted in relation to the field of Machine Translation (MT). The purpose of this research work is to determine the feasibility of using MT techniques for CLTR. Specifically, I will describe how a MT system has been adapted without much effort to translate Spanish queries of a specific domain, i.e. Finance and Economics, into English in order to retrieve documents related to that field. The results of this process will then be compared with the results obtained from the retrieval of the original English queries. Thus, I will discuss the advantages and disadvantages of using MT for CLTR.
Book Synopsis Natural Language Processing for Online Applications by : Peter Jackson
Download or read book Natural Language Processing for Online Applications written by Peter Jackson and published by John Benjamins Publishing. This book was released on 2007-06-05 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text covers the technologies of document retrieval, information extraction, and text categorization in a way which highlights commonalities in terms of both general principles and practical concerns. It assumes some mathematical background on the part of the reader, but the chapters typically begin with a non-mathematical account of the key issues. Current research topics are covered only to the extent that they are informing current applications; detailed coverage of longer term research and more theoretical treatments should be sought elsewhere. There are many pointers at the ends of the chapters that the reader can follow to explore the literature. However, the book does maintain a strong emphasis on evaluation in every chapter both in terms of methodology and the results of controlled experimentation.
Book Synopsis Information Retrieval Systems by : Gerald J. Kowalski
Download or read book Information Retrieval Systems written by Gerald J. Kowalski and published by Springer. This book was released on 2007-08-23 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: The growth of the Internet and the availability of enormous volumes of data in digital form have necessitated intense interest in techniques to assist the user in locating data of interest. The Internet has over 350 million pages of data and is expected to reach over one billion pages by the year 2000. Buried on the Internet are both valuable nuggets to answer questions as well as a large quantity of information the average person does not care about. The Digital Library effort is also progressing, with the goal of migrating from the traditional book environment to a digital library environment. The challenge to both authors of new publications that will reside on this information domain and developers of systems to locate information is to provide the information and capabilities to sort out the non-relevant items from those desired by the consumer. In effect, as we proceed down this path, it will be the computer that determines what we see versus the human being. The days of going to a library and browsing the new book shelf are being replaced by electronic searching the Internet or the library catalogs. Whatever the search engines return will constrain our knowledge of what information is available. An understanding of Information Retrieval Systems puts this new environment into perspective for both the creator of documents and the consumer trying to locate information.
Book Synopsis Understanding Search Engines by : Michael W. Berry
Download or read book Understanding Search Engines written by Michael W. Berry and published by SIAM. This book was released on 2005-01-01 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of Understanding Search Engines: Mathematical Modeling and Text Retrieval follows the basic premise of the first edition by discussing many of the key design issues for building search engines and emphasizing the important role that applied mathematics can play in improving information retrieval. The authors discuss important data structures, algorithms, and software as well as user-centered issues such as interfaces, manual indexing, and document preparation. Readers will find that the second edition includes significant changes that bring the text up to date on current information retrieval methods. For example, the authors have added a completely new chapter on link-structure algorithms used in search engines such as Google, and the chapter on user interface has been rewritten to specifically focus on search engine usability. To reflect updates in the literature on information retrieval, the authors have added new recommendations for further reading and expanded the bibliography. In addition, the index has been updated and streamlined to make it more reader friendly.
Author :Bhaskar Mitra Publisher :Foundations and Trends (R) in Information Retrieval ISBN 13 :9781680835328 Total Pages :142 pages Book Rating :4.8/5 (353 download)
Book Synopsis An Introduction to Neural Information Retrieval by : Bhaskar Mitra
Download or read book An Introduction to Neural Information Retrieval written by Bhaskar Mitra and published by Foundations and Trends (R) in Information Retrieval. This book was released on 2018-12-23 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Efficient Query Processing for Scalable Web Search will be a valuable reference for researchers and developers working on This tutorial provides an accessible, yet comprehensive, overview of the state-of-the-art of Neural Information Retrieval.
Book Synopsis Natural Language Information Retrieval by : T. Strzalkowski
Download or read book Natural Language Information Retrieval written by T. Strzalkowski and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: The last decade has been one of dramatic progress in the field of Natural Language Processing (NLP). This hitherto largely academic discipline has found itself at the center of an information revolution ushered in by the Internet age, as demand for human-computer communication and informa tion access has exploded. Emerging applications in computer-assisted infor mation production and dissemination, automated understanding of news, understanding of spoken language, and processing of foreign languages have given impetus to research that resulted in a new generation of robust tools, systems, and commercial products. Well-positioned government research funding, particularly in the U. S. , has helped to advance the state-of-the art at an unprecedented pace, in no small measure thanks to the rigorous 1 evaluations. This volume focuses on the use of Natural Language Processing in In formation Retrieval (IR), an area of science and technology that deals with cataloging, categorization, classification, and search of large amounts of information, particularly in textual form. An outcome of an information retrieval process is usually a set of documents containing information on a given topic, and may consist of newspaper-like articles, memos, reports of any kind, entire books, as well as annotated image and sound files. Since we assume that the information is primarily encoded as text, IR is also a natural language processing problem: in order to decide if a document is relevant to a given information need, one needs to be able to understand its content.
