... embedding ina sentence6. anagram func grammatical function of anaphor7. ananpform form of anaphor8. anaagree person, gender, number9. anacase grammatical case of anaphor10. anas depth ... contained an NP-markable at the current posi-tion and if this markable was not an indefinite nounphrase, it was considered a potential anaphor. In that case, pairs of potentially coreferring ... distance between anaphor and antecedent in words14. mdist distance between anaphor and antecedent in markables15. sdist distance between anaphor and antecedent in sentences16. synpar anaphor...
... over}e8,saide9General Salim Khan, assistanthead of police in Kandahar.The text above, our translation.To create a consistent animation, the programneeds to extract and understand who the partici-pants are ... (SLINK), temporal (TLINK), and aspec-tual (ALINK). Aspectual links connect two event in- stances, one being aspectual and the other the ar-gument. As its significance was minor in the visu-alization ... framework to deal w ithevents in simple past and pluperfect sentences.Hitzeman et al. (1995) proposed a constraint-based approach taking into account tense, aspect,temporal adverbials, and...
... pronominal andotherwise, has been a popular research area in Natural Language Processing for more than twodecades, with extensive documentation of boththe rule-based and the machinelearning approach. For ... system are summarised in Table 4.3. The individual features for anaphor A MachineLearningApproach to German Pronoun ResolutionBeata KouchnirDepartment of Computational LinguisticsT¨ubingen ... the an-tecedentdist distance in markablesbetween anaphor and an-tecedent (1 20)same agr same agreement of anaphorand antecedent?same gramrole same grammatical role ofanaphor and antecedent?same...
... A machine- learningapproach to the identification of WH gapsDerrick HigginsEducational Testing Servicedchiggin@alumni.uchicago.eduAbstract In this paper, we pursue a multi-modular, statistical ... identifying gaps could also aid in automatic lexical acquisition techniques. Manyother applications are imaginable as well, usingthe gap location to inform intonation, semantics,collocation ... this paper consists in the de-velopment of a machine- learningapproach to theidentification of WH gaps. This approach reducesthe lexical prerequisites for this task, while main-taining a high...
... size66676869707172737475767778798081828384010,00020,00030,00040,00050,00060,00070,00080,00090,000100,000110,000120,000130,000140,000150,000160,000170,000180,000Training casesAvg best accuracyAll features Pe r p l e x i t y o n l y Linguistic onlyFigure 1 Accuracy with varying amounts of training data4.2 Varying the amount of training dataFor ... trained on all 180,000 training sentencesand evaluated against the 20,000 held-out testsentences. Since the training data and test datacontainanevensplitbetweenreferencehumantranslations and ... across all categories A machinelearning approach to the automatic evaluation of machine translationSimon Corston-Oliver, Michael Gamon and Chris BrockettMicrosoft ResearchOne Microsoft WayRedmond...
... AM57www.efinancialcareers.comCareers inFinancialMarkets 2010-11Jon Bloom, Managing Partner Broadlawn CapitalDescribe your career path.After graduating from the Wharton School of Business in 1981 and ... returns. Ina plain vanilla interest rate swap, for instance, one side agrees to pay a constant (“fixed”) rate on each payment date and the counterparty pays a variable (“floating”) rate that will ... business. In Congressional testimony, Moody’s Chairman Ray McDaniel admitted, “Maintaining our standards may conflict with maintaining market share.”The Dodd-Frank Act, the new law overhauling...
... the appreciative character of social organization of innovation. In fact that SWG acts to bring a collaborative and linking among important actors. In operation, when the project started, a workshop ... own action plan. Through these S&CWGs activities, regalar 6An Evaluation of A Participatory Research Approach in Rainfed Lowland Area of Vinh Trach Village, Bac Lieu Nguyen Duy Can1, ... resource poor farmers for sustainable use and management of agricultural and natural resources to increase production and incomes in the coastal rainfed areas. However, the FARM Programme was soon...
... TIMISOARA, FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION Master inFinancialMarkets 99. Universiti Utara Malaysia (UUM) MSc. Banking 100. Saint Joseph's University MS Financial ... Business School MS Finance de Marché 27. National Taiwan University Finance 28. MBA with Regulation of FinancialMarkets Elective MBA Regulation of FinancialMarkets 29. Université Paris-Dauphine ... Management and Economics MSc inFinancial Economics 71. Zagreb School of Economics and Management MBA Quantitative finance 72. Jönköping International Business School Master in International...
... barriers and challenges. According to Welle-Graf (2000), maintaining service-leaning partnerships requires substantial ongoing support, training, and management. Having a designated office and ... Community-Based Health Education Intervention: A Service -Learning Approach Srijana M. Bajracharya, Associate Professor, Department of Health Promotion and Physical Education, Ithaca College A variety ... (Bajracharya and Spear 2000; Welle-Graf 2000). We can certainly say that this is a win-win situation for all involved. For students, such experiential learning can be most valuable and meaningful....
... appeared in European Finance Review, Finance and Stochastics, Journal of Computational Finance, Journal of Financial Economics, Journal of Financial and Quantitative Analysis, Mathematical Finance, ... 2 Quantitative Analysis inFinancialMarkets instant, one cannot in general characterize in closed-form an object as simple (and fundamental for everything from prediction to estimation and ... Professor Ait-Sahalia has conducted seminars in finance for investment bankers and corporate managers, both in Europe and the United States. He has also consulted for financial firms and derivatives...
... essential, as pattern-based approach is enhancedwith the supervised machine learning. In this paper, we propose a novel approach toautomatic synonym identification based on super-vised learning technique. ... Dagan, and Maayan Geffet. 2006.Integrating pattern-based and distributional similaritymethods for lexical entailment acquisition. Proc. ofCOLING/ACL 06, 579–586.Brian Roark and Eugene Charniak. ... proposed a novel approach to au-tomatic synonym identification based on supervised machine learning and distributional features. Forthis purpose, we re-formalized synonym acquisitionas a classification...
... Global Finance, (Washington: Institute of International Finance).HERD BEHAVIOR INFINANCIAL MARKETS 309assessments) of investors who decide early may be crucial in determining which waythe majority ... 401–09.Eichengreen, Barry, Donald Mathieson, Bankim Chadha, Anne Jansen, Laura Kodres and SunilSharma, 1998, Hedge Funds and Financial Market Dynamics, IMF Occasional Paper No.166, (Washington: International ... emergingmarket financial instruments than in those available in developed markets. Herding in Emerging Stock Markets In the aftermath of the recent crises in emerging markets, considerable attentionhas...
... demographic shifts. However, the development and application of new technology is arguably causing the most rapid changes in nancial markets. In particular, HFT and AT in nancial markets have attracted ... development, and the steadily reducing levels of human involvement in major markets, means that algorithmic game theory may be a valuable tool in understanding systemic issues in automated nancial markets. ... in milliseconds to a market (or markets) , resulting in major market upheaval. MarketsinFinancial Instruments Directive (MiFID) II Article 17(2) proposes that investment rms engaging in AT...
... under-sampling to the training instances that do not have any errors to alleviate data imbalance in the training set. We emphasize the fact that the two learner corpora differ from each other in ... answers. Performance can be evaluated ina more realistic way by applying a softer standard, e.g., by evaluating manually. 4. Conclusion We have presented a novel approach to grammatical error ... grammatical error tagged corpora. 1. Introduction As language learning has drawn significant attention in the community, grammatical error correction (GEC), consequently, has attracted a fair...
... techniques. Since in machine learning the starting point of any Bayesian analysis is almost always a high-dimensional probability distribution P(M, D) and the related conditionaland marginal distributions ... compression. A goodThis page intentionally left blank58 Machine Learning: The Probabilistic Frameworksummary, a substantial portion of this book and of machine- learning practiceis based on MAP estimation, ... SummaryWe have briefly presented the Bayesian approach to modeling and inference.The main advantage of a Bayesian approach is obvious: it provides a princi-pled and rigorous approach to inference,...