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Hits 381 – 397 of 397

381
The vectors of mind : multiple-factor analysis for the isolation of primary traits
Thurstone, Louis Leon. - Chicago, IL : University of Chicago Press, 1935
MPI für Psycholinguistik
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382
Original Article Charles Spearman: British Behavioral Scientist By
In: http://human-nature.com/nibbs/03/spearman.pdf (1863)
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383
JADT 2004: 7es Journées internationales d’Analyse statistique des Données Textuelles Quantification of Stylistic Traits: A Statistical Approach
In: http://lexicometrica.univ-paris3.fr/jadt/jadt2004/pdf/JADT_005.pdf
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384
Affect Proxies and Ontological Change: A Finance Case Study
In: http://www.aclweb.org/anthology/W/W12/W12-5311.pdf
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385
A COMPARISON OF APPROACHES FOR MODELING PROSODIC FEATURES IN SPEAKER RECOGNITION
In: http://www.speech.sri.com/cgi-bin/run-distill?papers/icassp2010-ferrer.ps.gz
BASE
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386
Survey on Sense of Security for Registering Privacy Information to Return Refugee Supporting System
In: http://cups.cs.cmu.edu/soups/2013/trustbusters2013/Sense_of_Security_Refugee_Supporting_System_Okumura.pdf
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387
Constrained Cepstral Speaker Recognition Using Matched UBM and JFA Training
In: http://www.speech.sri.com/papers/interspeech2011-markers.pdf
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388
Mixture of Auto-Associative Neural Networks for Speaker Verification
In: http://www.clsp.jhu.edu/%7Esamuel/pdfs/speakerid_aann.pdf
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389
Factor Structure and Clinical Implications of Child Behavior Checklist/1.5–5 Ratings in a Sample of Girls Adopted from China
In: http://jpepsy.oxfordjournals.org/content/32/7/807.full.pdf
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390
1 FROM THEORIES OF ATTITUDE REPRESENTATION TO QUESTIONNAIRE DESIGN
In: http://www.uni-koeln.de/phil-fak/psych/allgemeine/downloads/Naumann,Richter,Groeben,Christmann_2000.pdf
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391
Social Context Summarization
In: http://www.cs.cmu.edu/afs/cs/Web/People/ziy/pubs/SIGIR11-Yang-et-al-Social-Context-Summarization.pdf
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392
THE EFFECT OF LANGUAGE FACTORS FOR ROBUST SPEAKER RECOGNITION
In: http://homepages.inf.ed.ac.uk/llu/pdf/effect_lfc.pdf
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393
ed. by V. Koseska-Toszewa, L. Dimitrova and R. Roszko, SOW Publishing House Interactive Discovery of Ontological Knowledge for Modelling Language Resources
In: http://www.celta.paris-sorbonne.fr/anasem/papers/miscelanea/AW-Mondilex09InterDisc.pdf
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394
TEACHER AS A ROLE MODEL AND ITS IMPACT ON THE LIFE OF FEMALE STUDENTS
In: http://granthaalayah.com/Articles/Vol1Iss1/02_IJRG14_A07_03.pdf
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395
www.hrmars.com The Role of “Radical Change ” In Medium-of-Instruction and its Impact on Academic Achievements
In: http://hrmars.com/hrmars_papers/The_Role_of_%E2%80%9CRadical_Change%E2%80%9D_In_Medium-of-Instruction_and_its_Impact_on_Academic_Achievements.pdf
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396
122 | P a g e Teachers ’ Work-Family Conflict in Malaysia: Scale Validation
In: http://thejournalofbusiness.org/index.php/site/article/download/114/113/
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397
2011b. Social Context Summarization
In: http://keg.cs.tsinghua.edu.cn/jietang/publications/SIGIR11-Yang-et-al-social-context-summarization.pdf
Abstract: We study a novel problem of social context summarization for Web documents. Traditional summarization research has focused on ex-tracting informative sentences from standard documents. With the rapid growth of online social networks, abundant user generated content (e.g., comments) associated with the standard documents is available. Which parts in a document are social users really caring about? How can we generate summaries for standard documents by considering both the informativeness of sentences and interests of social users? This paper explores such an approach by model-ing Web documents and social contexts into a unified framework. We propose a dual wing factor graph (DWFG) model, which uti-lizes the mutual reinforcement between Web documents and their associated social contexts to generate summaries. An efficient al-gorithm is designed to learn the proposed factor graph model. Ex-perimental results on a Twitter data set validate the effectiveness of the proposed model. By leveraging the social context information, our approach obtains significant improvement (averagely +5.0%-17.3%) over several alternative methods (CRF, SVM, LR, PR, and DocLead) on the performance of summarization.
Keyword: Categories and Subject Descriptors H.3.1 [Information Storage and Retrieval; Content Analysis and Indexing; Data Mining; Experimentation Keywords Document summarization; Factor graph; H.2.8 [Database Management; J.4 [Computer Applications; Social and Behavioral Sciences General Terms Algorithms; Social context; Twitter
URL: http://keg.cs.tsinghua.edu.cn/jietang/publications/SIGIR11-Yang-et-al-social-context-summarization.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.644.9492
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