Paraphrase generation is an important task that has received a great deal of interest recently. Proposed data-driven solutions to the problem have ranged from simple approaches that make minimal use of NLP tools to more complex approaches that rely on numerous language-dependent resources. Despite all of the attention, there have been very few direct empirical evaluations comparing the merits of the different approaches.
Organizational Diagnosis in Practice: A Cross - Classification Analysis Using the DEL-Technique an empirical research about organizational diagnosis in the netherlands is presented. Organizational diagnosis is seen as a strategic activity which is determined by the idiosyncrasies of the decision maker.
We explore how active learning with Support Vector Machines works well for a non-trivial task in natural language processing. We use Japanese word segmentation as a test case. In particular, we discuss how the size of a pool affects the learning curve. It is found that in the early stage of training with a larger pool, more labeled examples are required to achieve a given level of accuracy than those with a smaller pool. In addition, we propose a novel technique to use a large number of unlabeled examples effectively by adding them gradually to a pool. ...
In a language generation system, a content planner embodies one or more “plans” that are usually hand–crafted, sometimes through manual analysis of target text. In this paper, we present a system that we developed to automatically learn elements of a plan and the ordering constraints among them. As training data, we use semantically annotated transcripts of domain experts performing the task our system is designed to mimic.
In this chapter, you will learn to: Explain the terms random experiment, outcome, sample space, permutations, and combinations; define probability; describe the classical, empirical, and subjective approaches to probability; explain and calculate conditional probability and joint probability;...
Chapter 5 - A survey of probability concepts. In this chapter, the learning objectives are: Define probability; describe the classical, empirical, and subjective approaches to probability; explain the terms experiment, event, outcome, permutations, and combinations; define the terms conditional probability and joint probability; calculate probabilities using the rules of addition and rules of multiplication.
The favorable reception of Portfolio Management Formulas exceeded even the greatest expectation I ever had for the book. I had written it to
promote the concept of optimal f and begin to immerse readers in portfolio theory and its missing relationship with optimal f.
Besides finding friends out there, Portfolio Management Formulas was surprisingly met by quite an appetite for the math concerning money
management. Hence this book. I am indebted to Karl Weber, Wendy Grau, and others at John Wiley & Sons who allowed me the necessary latitude
this book required....
The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. The book demonstrates that a powerful technique does not always require complex control algorithms. Many new exercises and examples have also been added throughout.
But up to now not only few but also rather inadequate empirical segmentation studies of
these markets have been carri ed out and published. So, this book will present the results
of a newer and better designed segmentation study of Chinese consumer goods markets.
This study identifies and characterizes 12 market segments that are internally
homogeneous and externally heterogeneous with regard to the product related needs and
wants of their members. Moreover, it explains the possibilities of a segment specific
tailoring of some other elements of the marketing mix.
It also reviews different valuation methods and estimated values for non-market forest
goods and services in Europe. Chapter 5 gives an overview of the financing mechanisms used in the
Member States and their applicability for different goods and services. It includes a theoretical
review of alternative financing mechanisms for non-market forest goods and services (FG&S) as well
as an empirical assessment of their use in Europe and EU Member States (EU MS).
For me, telemarketing is fun! It’s also challenging and highly
rewarding. Whether you’re planning to become a full-time
telesales professional or you hope to develop telemarketing skills
that can be incorporated into your current, more traditional in-
person sales efforts, Top Telemarketing Techniques shares
much of the knowledge I have painstakingly acquired over the
years and offers you the information you need to begin achiev-
ing success almost immediately.
3,1 Phương pháp tiếp cận để học tập và giảng dạy trong khóa học 2 3,2 Hoạt động học tập và giảng dạy Lỗi Chiến lược! Bookmark not defined. 4. ĐÁNH GIÁ 4,1 Yêu cầu chính thức 4.2 Thông tin chi tiết Đánh giá 4.3 Đánh giá Định dạng 4,4 Phân thông tin Thủ tục 4,5 Late thông tin
We propose a two-step inversion of three-component seismograms that ( 1) recovers
the far-field source time function at each station and (2) estimates the distribution of
co-seismic slip on the fault plane for small earthquakes (magnitude 3 to 4). The
empirical Green’s function (EGF) method consists of finding a small earthquake
located near the one we wish to study and then performing a deconvolution to remove
the path, site, and instrumental effects from the main-event signal.
The rest of the paper is organized as follows. Section I lays out the household’s
consumption and portfolio choice problemwith a durable consumption good and
derives the Euler equations. Section II describes the consumption data used
in the empirical work. The service f low for durable goods (as defined in the
national accounts) is more cyclical than the service f low for nondurable goods
and services. The high cyclicality of the service f low, rather than durability of
the good, is the key ingredient in explaining the known facts about expected
A system making optimal use of available information in incremental language comprehension might be expected to use linguistic knowledge together with current input to revise beliefs about previous input. Under some circumstances, such an error-correction capability might induce comprehenders to adopt grammatical analyses that are inconsistent with the true input.
Chapter 10 - Production and cost estimation. In this chapter, you will learn to: Specify and estimate a short-run production function using a cubic specification of the production function, specify and estimate a short-run cost function using a cubic specification, estimate the parameters of a cubic short-run production function by using the technique of regression through the origin,...
Fourth, the model provides a rational to the empirical nding that volatility factors are priced in
the cross section of stock returns. In the current model, stock return volatility factors are driven by
systematic risk factors: sentiment and solvency risks. These factors, which drive volatility factors,
are shown to be priced across di¤erent stocks in an equilibrium consumption CAPM.
Instrumental variables techniques are required to solve the possible endogeneity of household
consumption. The most difficult task is to find a valid instrument for the regression above. The
literature on demand systems typically uses income to instrument consumption. If preferences are
separable between consumption and leisure, total consumption but not income is relevant to decide on
the good shares. However, there are several reasons why household income might not be a valid
In this chapter, you will learn to: Specify and estimate a short-run production function using a cubic specification of the production function, specify and estimate a short-run cost function using a cubic specification, estimate the parameters of a cubic short-run production function by using the technique of regression through the origin,...
While the stochastic volatility (SV) generalization has been shown to
improve the explanatory power over the Black-Scholes model, empirical
implications of SV models on option pricing have not yet been adequately
tested. The purpose of this paper is to ﬁrst estimate a multivariate SV
model using the efﬁcient method of moments (EMM) technique from
observations of underlying state variables and then investigate the respective
effect of stochastic interest rates, systematic volatility and idiosyncratic
volatility on option prices....