software for machine learning
Natural Language Annotation for Machine Learning potx
... with machine learning algorithms that perform classification, clustering and pattern inductiontasks.• Having a good annotation scheme and accurate annotations are critical for machine learning ... that this is where you start for designing the features that go into your learning algorithm. The better the features, thebetter the performance of the machine learning algorithm!Preparing ... particular problem or phenomenon that has sparkedyour interest, for which you will need to label natural language data for training for machine learning. Consider two kinds of problems. First imagine...
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Tài liệu Báo cáo khoa học: "Trimming CFG Parse Trees for Sentence Compression Using Machine Learning Approaches" pptx
... correspond.To solve the former problem, we apply a maxi-mum entropy model to Knight and Marcu’s modelto introduce machine learning features that are de-fined not only for CFG rules but also for othercharacteristics ... 850–857,Sydney, July 2006.c2006 Association for Computational LinguisticsTrimming CFG Parse Trees for Sentence Compression Using Machine Learning ApproachesYuya Unno1Takashi Ninomiya2Yusuke ... cre-ate a compression forest as Knight and Marcu did.We select the tree assigned the highest probabilityfrom the forest.Features in the maximum entropy model are de-fined for a tree node and...
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Tài liệu Báo cáo khoa học: "Machine Learning for Coreference Resolution: From Local Classification to Global Ranking" ppt
... systemsadopting the standard machine learning approach,outperforming them by as much as 4–7% on thethree data sets for one of the performance metrics.2 Related WorkAs mentioned before, our approach ... pages 104–111.J. R. Quinlan. 1993. C4.5: Programs for Machine Learning. Morgan Kaufmann.W. M. Soon, H. T. Ng, and D. Lim. 2001. A machine learning approach to coreference resolution of nounphrases. ... ranker underper-forms the perfect ranker by about 5% for BNEWSand 3% for both NPAPER and NWIRE in termsof F-measure, suggesting that the supervised rankerstill has room for improvement. Moreover,...
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Báo cáo khoa học: "Using Machine-Learning to Assign Function Labels to Parser Output for Spanish" ppt
... (Daelemans et al., 2004) for Memory-Based Learning, the MaxEnt Toolkit (Le, 2004) for Maximum Entropy and LIBSVM (Chang andLin, 2001) for Support Vector Machines. For TiMBL we used k nearest ... performance for gold-standard treesscoring 89.34% on accuracy and 86.87% on f-score. The learning curves for the three algo-rithms, shown in Figure 4, are also informative,with SVM outperforming ... memory-based learning toperform various graph transformations. One of thetransformations is node relabelling, which addsfunction tags to parser output. They report an f-score of 88.5% for the...
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Báo cáo khoa học: "A Re-examination of Machine Learning Approaches for Sentence-Level MT Evaluation" ppt
... that machine learn-ing can be applied to develop good auto-matic evaluation metrics for machine trans-lated sentences. This paper further ana-lyzes aspects of learning that impact per-formance. ... criteria. Machine learning af-fords a unified framework to compose these crite-ria into a single metric. In this paper, we havedemonstrated the viability of a regression approachto learning ... and Chris Brockett.2001. A machine learning approach to the automatic eval-uation of machine translation. In Proceedings of the 39thAnnual Meeting of the Association for Computational Lin-guistics,...
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Machine Learning for Hackers pot
... used to build a machine learning process. The notion of observing data, learning from it, and thenautomating some process of recognition is at the heart of machine learning and formsthe primary ... exploring machine learning withR! Before we proceed to the case studies, however, we will review some R functionsand operations that we will use frequently.R Basics for Machine Learning As ... message that is printed when you draw theR for Machine Learning | 19www.it-ebooks.infoWith the function defined, we will use the lapply function, short for “list-apply,” toiterate this function...
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Báo cáo khoa học: "Using Emoticons to reduce Dependency in Machine Learning Techniques for Sentiment Classification" pot
... 2005.c2005 Association for Computational LinguisticsUsing Emoticons to reduce Dependency in Machine Learning Techniques for Sentiment ClassificationJonathon ReadDepartment of InformaticsUniversity ... best-performing settings for the Na¨ıve Bayes classifierwas a window context of 130 tokens taken from thelargest training set of 22,000 articles. Similarly, thebest performance for the SVM ... language-style dependency.Also, note that neither machine- learning modelconsistently out-performs the other. We speculatethat this, and the generally mediocre performance ofthe classifiers, is due (at...
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Báo cáo khoa học: "Learning Non-Isomorphic Tree Mappings for Machine Translation" pptx
... r).4The joint probability model can be formulated, if desired,as a language model times a channel model. Learning Non-Isomorphic Tree Mappings for Machine TranslationJason Eisner, Computer ... estimate a model from unaligned data.4 A Probabilistic TSG Formalism For expository reasons (and to fill a gap in the literature),first we formally present non-synchronous TSG. Let Q bea set of ... statistical formalisms (limited to isomorphictrees), synchronous TSG allows local distortion of the tree topol-ogy. We reformulate it to permit dependency trees, and sketchEM/Viterbi algorithms for...
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Báo cáo khoa học: "A Seed-driven Bottom-up Machine Learning Framework for Extracting Relations of Various Complexity" pdf
... Califf and R. J. Mooney. 2004. Bottom-Up Rela-tional Learning of Pattern Matching Rules for Infor-mation Extraction. Journal of Machine Learning Re-search, MIT Press. W. Drozdzynski, H U.Krieger, ... 584–591,Prague, Czech Republic, June 2007.c2007 Association for Computational Linguistics A Seed-driven Bottom-up Machine Learning Framework for Extracting Relations of Various Complexity Feiyu ... patterns, the learning system is not re-stricted to a particular linguistic representation and is therefore suitable for various linguistic analysis methods and representation formats. The...
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Báo cáo khoa học: "Feasibility Study for Ellipsis Resolution in Dialogues by Machine-Learning Technique" docx
... similar. 3 Ellipsis Resolution by Machine Learning Since a huge text corpus has become widely available, the machine- learning approach has been utilized for some problems in natural lan- ... positional information, i.e., search space of morphemes from the target predicate. Positional information can be one of five kinds: before, at the latest, here, next, and afterward. For example, ... 'ga(v.)' case, except for a few attributes. 6 Conclusion and Future Work This paper proposed a method for resolving the ellipsis that appear in Japanese dialogues. A machine- learning algorithm...
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Trí tuệ nhân tạo - Introduction to Machine Learning
... of AI systems to conform to newknowledge is impractical, but machine learning metho ds mightbeable to trackmuchofit.1.1.2 Wellsprings of Machine Learning Workinmachine learning is nowconverging ... design time. Machine learning metho ds can b e used for on-the-job improvement of existing machine designs. The amount of knowledge available ab out certain tasks mightbeto o large for explicit ... could have done b efore. Wecan contrast sp eed-up learning with metho ds that create genuinely newfunctions|ones that might give dierent results after learning than theydid b efore. Wesay that...
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HỌC MÁY (MACHINE LEARNING)
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