Xem 1-20 trên 37 kết quả Retrieval evaluation
  • The present paper will seek to present an approach to bilingual lexicon extraction from non-aligned comparable corpora, phrasal translation as well as evaluations on Cross-Language Information Retrieval. A two-stages translation model is proposed for the acquisition of bilingual terminology from comparable corpora, disambiguation and selection of best translation alternatives according to their linguistics-based knowledge.

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  • Leading text extracts created to support some online Boolean retrieval goals are evaluated for their acceptability as news document summaries. Results are presented and discussed from the perspective of commercial summarization technology needs.

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  • Bootstrapping semantics from text is one of the greatest challenges in natural language learning. We first define a word similarity measure based on the distributional pattern of words. The similarity measure allows us to construct a thesaurus using a parsed corpus. We then present a new evaluation methodology for the automatically constructed thesaurus. The evaluation results show that the thesaurns is significantly closer to WordNet than Roget Thesaurus is.

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  • This paper describes a novel approach for the automatic generation and evaluation of a trivial dialogue phrases database. A trivial dialogue phrase is defined as an expression used by a chatbot program as the answer of a user input. A transfer-like genetic algorithm (GA) method is used to generating the trivial dialogue phrases for the creation of a natural language generation (NLG) knowledge base. The automatic evaluation of a generated phrase is performed by producing n-grams and retrieving their frequencies from the World Wide Web (WWW).

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  • Standard IR systems can process queries such as “web NOT internet”, enabling users who are interested in arachnids to avoid documents about computing. The documents retrieved for such a query should be irrelevant to the negated query term. Most systems implement this by reprocessing results after retrieval to remove documents containing the unwanted string of letters. This paper describes and evaluates a theoretically motivated method for removing unwanted meanings directly from the original query in vector models, with the same vector negation operator as used in quantum logic. ...

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  • We present a large-scale meta evaluation of eight evaluation measures for both single-document and multi-document summarizers. To this end we built a corpus consisting of (a) 100 Million automatic summaries using six summarizers and baselines at ten summary lengths in both English and Chinese, (b) more than 10,000 manual abstracts and extracts, and (c) 200 Million automatic document and summary retrievals using 20 queries.

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  • In previous papers we presented methods for retrieving collocations from large samples of texts. We described a tool, X t r a c t , that implements these methods and able to retrieve a wide range of collocations in a two stage process. These methods a.s well as other related methods however have some limitations. Mainly, the produced collocations do not include any kind of functional information and many of them are invalid. In this paper we introduce methods that address these issues. These methods are implemented in an added third stage to X t r a c t...

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  • All rights reserved. Manufactured in the United States of America. Except as permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the prior written permission of the publisher.

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  • All rights reserved. Except for the quotation of short passages for the purposes of criticism and review, no part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without the prior permission of the publisher.

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  • xi Preface This book roughly follows the process of care, illustrating the techniques involved in medical imaging informatics. Our intention in this text is to provide a roadmap for the different topics that are involved in this field: in many cases, the topics covered in the ensuing chapters are themselves worthy of lengthy descriptions, if not an entire book. As a result, when possible the authors have attempted to provide both seminal and current references for the reader to pursue additional details....

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  • After initial retrieval results are presented, allow the user to provide feedback on the relevance of one or more of the retrieved documents. Use this feedback information to reformulate the query. Produce new results based on reformulated query. Allows more interactive, multi-pass process.

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Evaluating the impact of MEDLINE filters on evidence retrieval: study protocol

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  • When you’re not sure which database(s) might have the most data on your topic, use DIALINDEX as the first step in your online research. You can scan several databases, a OneSearch category of databases, or create your own category using the Alias feature, or use a “Supercategory” unique to DIALINDEX. An example of a Supercategory is ALL which is used to scan every database on the Dialog service. Available Supercategories are listed on page 22. It is important to note that DIALINDEX does not actually retrieve the records resulting from the search.

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  • All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from RAND. Published 2002 by RAND 1700 Main Street, P.O. Box 2138, Santa Monica, CA 90407-2138 1200 South Hayes Street, Arlington, VA 22202-5050 201 North Craig Street, Suite 202, Pittsburgh, PA 15213 RAND URL: http://www.rand.

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  • The book was copyrighted. Apart from fair dealing for the purposes private research, researeh, comments, or be evaluated Copyright Act, no part may be reproduced, stored in a retrieval system, or transmuted, in any form or by any means, electronic, mechanical, photo copying, recording or otherwise without prior questions in writing to allow to be made ​​to Oxford University Prew.

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  • • Means you may risk possible bodily harm Important: • Means you risk damage to the vehicle or the tool Notes: are added to provide clarity and helpful tips These safety messages cover situations SPX is aware of. SPX cannot know, evaluate and advise you as to all of the possible hazards. You must be certain that any conditions or service procedures encountered do not jeopardize your personal safety.

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  • Use the traceroute Cisco IOS command from source router to destination router. Use the tracert MS-DOS command from source workstation to destination router. Verify that the networklayer between source, destination and each router along the way is working properly. Retrieve information to evaluate the end-to-end path reliability. Cable the network in the diagram. Any router that meets the interface requirements displayed on the above diagram such as 800, 1600, 1700, 2500, 2600 routers, or a combination, may be used.

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  • Which of the following is the correct expression of the recall ratio and precision ratio used as measures in evaluating information retrieval systems, such as document retrieval systems and data retrieval systems? Here, A, B and C indicate the following.

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  • This paper describes initial work on Deep Read, an automated reading comprehension system that accepts arbitrary text input (a story) and answers questions about it. We have acquired a corpus of 60 development and 60 test stories of 3rd to 6 th grade material; each story is followed by short-answer questions (an answer key was also provided).

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  • A natural approach to implementing such systems is to use an existing query-based data collection system for sen- sor networks. Through queries, a user can ask for the data he or she is interested in without concern for the technical details of how that data will be retrieved or processed. A number of research projects, including Cougar [31], Di- rected Diffusion [12], and TinyDB [19,20] have advocated a query-based interface to sensornets, and several imple- mentations of query systems have been built and deployed.

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