The dictionary covers definition of business and financial terms. It is arranged alphabetically from A-Z. This is an invaluable tool for financial professionals, students and anyone interested in trying to make sense out of the newspaper headlines about chaos in the financial sector.
The Balanced Scorecard: Eolution to Long-Term Performance It is measured at the district level rather than the school; it
covers only public schools; it is missing for a great many districts who failed to report one of
the component variables; and it may be unreliable if districts cannot distinguish mobility
from dropout. Moreover, the CCD contains very little information about student
Development in Viet Nam has grown tremendously in recent years as all major international bilateral and multilateral donors increased their activities. Donors, at times, experienced a common frustrating issue–the lack of a common or shared vocabulary for development term.
This paper reports the results of a preliminary experiment on the detection of semantic variants of terms in a French technical document. The general goal of our work is to help the structuration of terminologies. Two kinds of semantic variants can be found in traditional terminologies : strict synonymy links and fuzzier relations like see-also. We have designed three rules which exploit general dictionary information to infer synonymy relations between complex candidate terms. The results have been examined by a human terminologist.
Lịch sử hình thành Incoterms, tóm lược Incoterms 2010, câu hỏi ôn Incoterms 2000 và 2010, nghĩa vụ các bên theo Incoterms 2010,... là những nội dung chính trong bài giảng "International Commercial Terms Incoterms". Mời các bạn cùng tham khảo để có thêm tài liệu phục vụ nhu cầu học tập và nghiên cứu.
Mời các bạn cùng tham khảo nội dung đề thi "Mid - Term 2 test" dưới đây để nắm bắt được 50 câu hỏi trắc nghiệm có đáp án môn English, hy vọng đề thi này sẽ giúp các bạn tự tin hơn trong kỳ thi sắp đến.
This chapter introduces the basic elements of short-term financial decisions. First, we discuss the short-term operating activities of the firm. We then identify some alternative short-term financial policies. Finally, we outline the basic elements in a short-term fi nancial plan and describe short-term financing instruments.
This paper addresses the task of handling unknown terms in SMT. We propose using source-language monolingual models and resources to paraphrase the source text prior to translation. We further present a conceptual extension to prior work by allowing translations of entailed texts rather than paraphrases only. A method for performing this process efﬁciently is presented and applied to some 2500 sentences with unknown terms. Our experiments show that the proposed approach substantially increases the number of properly translated texts. ...
The present paper describes a robust approach for abbreviating terms. First, in order to incorporate non-local information into abbreviation generation tasks, we present both implicit and explicit solutions: the latent variable model, or alternatively, the label encoding approach with global information. Although the two approaches compete with one another, we demonstrate that these approaches are also complementary. By combining these two approaches, experiments revealed that the proposed abbreviation generator achieved the best results for both the Chinese and English languages. ...
Although indexes may overlap, the output of an automatic indexer is generally presented as a fiat and unstructured list of terms. Our purpose is to exploit term overlap and embedding so as to yield a substantial qualitative and quantitative improvement in automatic indexing through concept combination. The increase in the volume of indexing is 10.5% for free indexing and 52.3% for controlled indexing. The resulting structure of the indexed corpus is a partial conceptual analysis.
This paper describes unsupervised learning algorithm for disambiguating verbal word senses using term weight learning. In our method, collocations which characterise every sense are extracted using similarity-based estimation. For the results, term weight learning is performed. Parameters of term weighting are then estimated so as to maximise the collocations which characterise every sense and minimise the other collocations. The resuits of experiment demonstrate the effectiveness of the method. ...
Chapter 22 - Management of short-term assets: Inventory. When you finish this chapter, you should: Understand the importance of short-term assets in the Australian economy, identify the three major types of short-term assets, evaluate the need for short-term asset management,...
Chapter 16 introduces you to short-term financial planning. After completing this unit, you should be able to: Be able to compute the operating and cash cycles and understand why they are important, understand the different types of short-term financial policy, understand the essentials of short-term financial planning.
The level of the inactive N-terminal fragment of pro–brain (B-type) natriuretic peptide
(BNP) is a strong predictor of mortality among patients with acute coronary syndromes
and may be a strong prognostic marker in patients with chronic coronary heart disease
as well. We assessed the relationship between N-terminal pro-BNP (NT-pro-BNP) levels
and long-term mortality from all causes in a large cohort of patients with stable coronary
We propose a novel method to automatically acquire a term-frequency-based taxonomy from a corpus using an unsupervised method. A term-frequency-based taxonomy is useful for application domains where the frequency with which terms occur on their own and in combination with other terms imposes a natural term hierarchy. We highlight an application for our approach and demonstrate its effectiveness and robustness in extracting knowledge from real-world data.
This paper describes an approach to utilizing term weights for sentiment analysis tasks and shows how various term weighting schemes improve the performance of sentiment analysis systems. Previously, sentiment analysis was mostly studied under data-driven and lexicon-based frameworks. Such work generally exploits textual features for fact-based analysis tasks or lexical indicators from a sentiment lexicon. We propose to model term weighting into a sentiment analysis system utilizing collection statistics, contextual and topicrelated characteristics as well as opinionrelated properties.
This paper focuses on the exploration of term dependence in the application of sentence retrieval. The adjacent terms appearing in query are assumed to be related with each other. These assumed dependences among query terms will be further validated for each sentence and sentences, which present strong syntactic relationship among query terms, are considered more relevant. Experimental results have fully demonstrated the promising of the proposed models in improving sentence retrieval effectiveness. ...
This paper regards Question Answering (QA) as Question-Biased Term Extraction (QBTE). This new QBTE approach liberates QA systems from the heavy burden imposed by question types (or answer types). In conventional approaches, a QA system analyzes a given question and determines the question type, and then it selects answers from among answer candidates that match the question type. Consequently, the output of a QA system is restricted by the design of the question types.