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Titlebook: Natural Language Processingand Information Systems; 16th International C Rafael Muñoz,Andrés Montoyo,Elisabeth Métais Conference proceeding

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发表于 2025-3-21 20:02:37 | 显示全部楼层 |阅读模式
书目名称Natural Language Processingand Information Systems
副标题16th International C
编辑Rafael Muñoz,Andrés Montoyo,Elisabeth Métais
视频videohttp://file.papertrans.cn/662/661828/661828.mp4
概述up-to-date results.state-of-art research.Fast-track conference proceedings
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Natural Language Processingand Information Systems; 16th International C Rafael Muñoz,Andrés Montoyo,Elisabeth Métais Conference proceeding
描述This book constitutes the refereed proceedings of the 16th International Conference on Applications of Natural Language to Information Systems, held in Alicante, Spain, in June 2011.The 11 revised full papers and 11 revised short papers presented together with 23 poster papers, 1 invited talk and 6 papers of the NLDB 2011 doctoral symposium were carefully reviewed and selected from 74 submissions. The papers address all aspects of Natural Language Processing related areas and present current research on topics such as natural language in conceptual modeling, NL interfaces for data base querying/retrieval, NL-based integration of systems, large-scale online linguistic resources, applications of computational linguistics in information systems, management of textual databases NL on data warehouses and data mining, NLP applications, as well as NL and ubiquitous computing.
出版日期Conference proceedings 2011
关键词human language technologies; linguistic analysis; machine learning; plagiarism detection; semantic Web
版次1
doihttps://doi.org/10.1007/978-3-642-22327-3
isbn_softcover978-3-642-22326-6
isbn_ebook978-3-642-22327-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag GmbH Berlin Heidelberg 2011
The information of publication is updating

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发表于 2025-3-21 20:58:26 | 显示全部楼层
Information Retrieval Techniques for Corpus Filtering Applied to External Plagiarism Detectionbecomes very recommendable to apply filtered set generation techniques. The approaches that we have implemented include information retrieval methods and a document similarity measure based on a variant of .. Furthermore, we perform textual comparisons, as well as a semantic similarity analysis in order to capture higher levels of obfuscation.
发表于 2025-3-22 01:57:57 | 显示全部楼层
Opinion Classification Techniques Applied to a Spanish Corpusthis paper we present several experiments using five classification algorithms (SVM, Nave Bayes, BBR, KNN, C4.5). The results obtained are very promising and encourage us to continue investigating in this line.
发表于 2025-3-22 08:36:54 | 显示全部楼层
Conference proceedings 2011n Alicante, Spain, in June 2011.The 11 revised full papers and 11 revised short papers presented together with 23 poster papers, 1 invited talk and 6 papers of the NLDB 2011 doctoral symposium were carefully reviewed and selected from 74 submissions. The papers address all aspects of Natural Languag
发表于 2025-3-22 09:58:01 | 显示全部楼层
Topics Inference by Weighted Mutual Information Measures Computed from Structured Corpusgainst a set of EPG-specific queries from a large user population collected from a real world web-based IR system. The MI-base topic inference system is able to achieve 98 percent accuracy in recall measurement and 82 percent accuracy in precision measurement on the test set.
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‘twazn me!!! ;(’ Automatic Authorship Analysis of Micro-Blogging Messagesrelatively good-performance in attributing authorship of micro-blogging messages (. = 0.63) using this set of features, even when training the classifiers with as few as 60 examples from each author (. = 0.54). Additionally, we conclude that emoticons are the most discriminating features in these groups.
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发表于 2025-3-23 03:44:52 | 显示全部楼层
Word Sense Disambiguation: A Graph-Based Approach Using N-Cliques Partitioning Technique Affects. As a result, each Clique will contain relevant information used to extract the correct sense of each word. In order to evaluate our approach there have been conducted several experiments using the data set of the “English All Words” task of Senseval-2 obtaining promising results.
发表于 2025-3-23 08:32:39 | 显示全部楼层
Exploiting Unlabeled Data for Question Classificationestion classifier combining this knowledge with a bag-of-words approach by means of composite kernels. As the semantic information is acquired from unlabeled text, our system can be easily adapted to different languages and domains. We tested it on a parallel corpus of English and Spanish questions.
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