夹子
发表于 2025-3-21 20:02:37
书目名称Natural Language Processingand Information Systems影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0661828<br><br> <br><br>书目名称Natural Language Processingand Information Systems影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0661828<br><br> <br><br>书目名称Natural Language Processingand Information Systems网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0661828<br><br> <br><br>书目名称Natural Language Processingand Information Systems网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0661828<br><br> <br><br>书目名称Natural Language Processingand Information Systems被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0661828<br><br> <br><br>书目名称Natural Language Processingand Information Systems被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0661828<br><br> <br><br>书目名称Natural Language Processingand Information Systems年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0661828<br><br> <br><br>书目名称Natural Language Processingand Information Systems年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0661828<br><br> <br><br>书目名称Natural Language Processingand Information Systems读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0661828<br><br> <br><br>书目名称Natural Language Processingand Information Systems读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0661828<br><br> <br><br>
消散
发表于 2025-3-21 20:58:26
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.
失败主义者
发表于 2025-3-22 01:57:57
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.
世俗
发表于 2025-3-22 08:36:54
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
arthroscopy
发表于 2025-3-22 09:58:01
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.
DUCE
发表于 2025-3-22 14:03:43
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Generosity
发表于 2025-3-22 19:31:50
‘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.
emulsify
发表于 2025-3-22 22:14:33
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cancer
发表于 2025-3-23 03:44:52
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.
闯入
发表于 2025-3-23 08:32:39
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.