detecting erroneous sentences using automatically mining sequential patterns
Mining sequential patterns
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Báo cáo khoa học: "Automatically Mining Question Reformulation Patterns from Search Log Data" pdf
... reformulation patterns. Finally, the patterns observed in many different query pairs arekept. In other words, we rely on the frequency of apattern to filter noisy patterns. Generating patterns using ... effectiveapproach to automatically mine 5w1h question re-formulation patterns. Second, we conduct compre-hensive studies in improving the search performanceof 5w1h questions using the mined patterns. 187 ... retrieval performance of using the question reformulations (QDist) with the perfor-mance of using the original question (Orig) in Table4. The parameter λ of QDist is decided using ten-fold cross...
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CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES
... process.REFERENCES[1] Akeel Al-Attar, 1998, ‘Data Mining – Beyond Algorithms’, http://www.attar.com/tutor /mining. htm.[2] Berry, J. A. Michael; Linoff, Gordon, 1997, ‘Data Mining Techniques: For Marketing, Sales, ... ‘Measuring Customer Satisfaction Using a Collective Preference Disaggregation Model’, Journal of Global Optimization, 12, pp.175-195.hypotheses that lead to patterns. These patterns may be logic, equations ... criteria)Development of questionnaireSurveyMUSAData Mining Search EnginesRule Induction EngineData Mining GlobalSatisfaction PredicctionSatisfactionFunctions Patterns / RulesUserSuggestionsStatisticalAnalysisMUSA...
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Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES ppt
... BASED DATA MINING TECHNIQUESThe objective of data mining is to extract valuable information from one’s data, to discover the ‘hiddengold’. In Decision Support Management terminology, data mining ... approaches of data mining. These technologiesextract patterns from data set and use them for various purposes, such as prediction of the value of adependent field (Field to Predict). By automatically ... process.REFERENCES[1] Akeel Al-Attar, 1998, ‘Data Mining – Beyond Algorithms’, http://www.attar.com/tutor /mining. htm.[2] Berry, J. A. Michael; Linoff, Gordon, 1997, ‘Data Mining Techniques: For Marketing, Sales,...
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Tài liệu Báo cáo khoa học: "Using Automatically Transcribed Dialogs to Learn User Models in a Spoken Dialog System" doc
... conducted two sets of experiments on the tele-phone directory application, one using simulateddata, and the other using dialogs collected from ac-tual users. Both sets of experiments assumed ... and St= s.For each training set D, we estimated θ using thefollowing three methods:1. Manual: Let θ be the maximum likelihoodestimate using manually transcribed data, i.e.,θasu=KDasuPaKDasu.2. ... data, i.e.,θasu=KDasuPaKDasu.2. Automatic: Let θ be the maximum likelihoodestimate using automatically transcribed data,i.e., θasu=eKDasPaeKDas. This approach ignorestranscription...
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Tài liệu Báo cáo khoa học: "Extracting Comparative Sentences from Korean Text Documents Using Comparative Lexical Patterns and Machine Learning Techniques" doc
... finally annotated 7,384 sentences. Table 3 shows the number of comparative sentences and non-comparative sentences in our corpus. Table 3. The numbers of annotated sentences Total Comparative ... Abstract This paper proposes how to automatically identify Korean comparative sentences from text documents. This paper first investigates many comparative sentences referring to pre-vious ... ([gat]: same)’. But many sentences also ex-press comparison without those keywords. Simi-larly, although some sentences contain some keywords, they cannot be comparative sentences. By these reasons,...
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Web Mining and Knowledge Discovery of Usage Patterns
... usage mining with the Web content mining and Web structure mining. Moreover, the clustering in the process of pattern discovery is a bridge to Web content and structure mining from usage mining. ... about usage mining, based on some up-to-date research works. 3. The Usage Mining on the Web Web usage mining is the application of data mining techniques to discover usage patterns from ... Although Web mining puts down the roots deeply in data mining, it is not equivalent to data mining. The unstructured feature of Web data triggers more complexity of Web mining. Web mining research...
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Using participles to join sentences (Exercise with key)
... the silver, he looked 27 Soaked to the skin, we reached 28 Sitting/Seated in the front row, and using . . . I saw 29 . . . sitting by the fire, you will take 30 Knowing that . . . , I didn't...
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Tài liệu Refreshing a DataSet Automatically Using Extended Properties pptx
... [ Team LiB ] Recipe 9.14 Refreshing a DataSet Automatically Using Extended Properties Problem You need to automatically refresh a DataSet periodically. Solution Use extended ... the data is written as XML. Add items to the collection using the Add( ) method, remove them with the Remove( ) method, and access them using the indexer in C# or the Item( ) property in VB.NET. ... long as the due time is not infinite. You can change the behavior of the timer at any time by using the Change( ) method. When the timer is no longer needed, call the Dispose( ) method to free...
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Tài liệu Big Profit Patterns Using Candlestick Signals And Gaps docx
... the order imbalance opens the price well above the prior day’s body as well 3“Big Profit Patterns Using Candlestick Signals And Gaps” How To Make A Living Trading The Markets By Mastering ... liquidating the trade, forming Shooting Stars, Dark Clouds, Meeting Lines or Bearish Engulfing patterns. In any case, sellers were making themselves known. It is time to take profits in a high-risk ... occurring, they could describe the trading environment that would anticipate the reversal. For example, using candlestick formations, it was clearly obvious that after an extended downtrend, the fear...
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Tài liệu Báo cáo khoa học: "Grammar Error Correction Using Pseudo-Error Sentences and Domain Adaptation" pdf
... problem by using pseudo-error sentences generated automatically. Fur-thermore, we apply domain adaptation, thepseudo-error sentences are from the sourcedomain, and the real-error sentences ... and the correct sentences. However, col-lecting a sufficient number of pairs is expensive. Toavoid this problem, we use additional corpus con-sisting of pseudo-error sentences automatically gen-erated ... Pseudo-error Sentences and DomainAdaptationThe error corrector described in Section 2 requirespaired sentences. However, it is expensive to col-lect them. We resolve this problem by using pseudo-error...
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Tài liệu Báo cáo khoa học: "Using Smaller Constituents Rather Than Sentences in Active Learning for Japanese Dependency Parsing" docx
... smaller constituents than sentences. Otherbigger problem is an algorithm of parsing itself.If we sample smaller units rather than sentences, we have partially annotated sentences and have touse ... 1998).Initial seed sentences and a pool of unlabeled sen-tences for training are taken from the articles onJanuary 1st through 8th (7,958 sentences) and thetest data is a set of sentences in the ... Select top m sentences. Averaged Margin Selection (Avg) This methodis to select sentences that have smaller values ofaveraged margin values of outputs of the classi-fier in a give sentences over...
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Tài liệu Báo cáo khoa học: "Mining metalinguistic activity in corpora to create lexical resources using Information Extraction techniques: the MOP system" doc
... papers [5581 sentences, 243 EMOs]; b) an online histology textbook [5146 sentences, 69 EMOs] ; and c) a small sample from the MedLine abstract database [1403 sentences, 10 EMOs]. Using collocational ... recall rates of around 0.97, and an overall F-measure of 0.97.6 Of 5581 sentences (96 of which were metalinguistic sentences signaled by our cluster of verbs), 83 were extracted, with 13 ... maximum entropy of a feature set, given a corpus. 1,371 training sentences were converted into la-beled vectors, for example using 3 positions and POS tags: ('VB WP NNP', 'calls',...
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