Topic selection

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  • (BQ) Part 1 book "Writing research papers - A complete guide" has contents: Introduction to academic writing, topic selection, organizing ideas and setting goals; finding web based resources, using library resources, conducting field research, plagiarism and how to avoid it, reading and evaluating sources,...and other contents.

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  • In this activity, you will participate in an instructor-led class discussion about the issues associated with selecting user interface technologies. Microsoft Official Curriculum (MOC), available to IT Academies at a discounted price, is professional courseware intended for IT professionals and developers who build, support, and implement solutions by using Microsoft products and technologies. MOC is designed to cover the topics that employers know are mission-critical in the real world.

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  • Physical design involves evaluating solution technologies. In this module, you will learn about some of the solution technology types and some evaluation criteria to consider for each of them. Later, you will use this information to investigate specific MicrosoftÆ solution technologies. Microsoft Official Curriculum (MOC), available to IT Academies at a discounted price, is professional courseware intended for IT professionals and developers who build, support, and implement solutions by using Microsoft products and technologies.

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  • The computation of selectional preferences, the admissible argument values for a relation, is a well-known NLP task with broad applicability. We present L DA - SP, which utilizes LinkLDA (Erosheva et al., 2004) to model selectional preferences. By simultaneously inferring latent topics and topic distributions over relations, L DA - SP combines the benefits of previous approaches: like traditional classbased approaches, it produces humaninterpretable classes describing each relation’s preferences, but it is competitive with non-class-based methods in predictive power. ...

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  • This paper describes the application of so-called topic models to selectional preference induction. Three models related to Latent Dirichlet Allocation, a proven method for modelling document-word cooccurrences, are presented and evaluated on datasets of human plausibility judgements. Compared to previously proposed techniques, these models perform very competitively, especially for infrequent predicate-argument combinations where they exceed the quality of Web-scale predictions while using relatively little data. ...

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  • This paper proposes three modules based on latent topics of documents for alleviating “semantic drift” in bootstrapping entity set expansion. These new modules are added to a discriminative bootstrapping algorithm to realize topic feature generation, negative example selection and entity candidate pruning. In this study, we model latent topics with LDA (Latent Dirichlet Allocation) in an unsupervised way. Experiments show that the accuracy of the extracted entities is improved by 6.7 to 28.2% depending on the domain. ...

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  • In the past, we presented tutorials called “Introduction to Statistical Machine Translation”, aimed at people who know little or nothing about the field and want to get acquainted with the basic concepts. This tutorial, by contrast, goes more deeply into selected topics of intense current interest. We aim at two types of participants: 1. People who understand the basic idea of statistical machine translation and want to get a survey of hot-topic current research, in terms that they can understand. 2.

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  • This paper presents an approach to automatically build a semantic perceptron net (SPN) for topic spotting. It uses context at the lower layer to select the exact meaning of key words, and employs a combination of context, co-occurrence statistics and thesaurus to group the distributed but semantically related words within a topic to form basic semantic nodes. The semantic nodes are then used to infer the topic within an input document. Experiments on Reuters 21578 data set demonstrate that SPN is able to capture the semantics of topics, and it performs well on topic spotting task. ...

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  • Ebook Selected topics on strength of materials has contents: Subject of the strength of materials, basic hypothesis, internal forces, stresses, three dimensional state of stress at a point, two dimensional state of stress at a point, strains, deflection of beams, moments of inertia, torsion.

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  • We describe the use of a hierarchical topic model for automatically identifying syntactic and lexical patterns that explicitly state ontological relations. We leverage distant supervision using relations from the knowledge base FreeBase, but do not require any manual heuristic nor manual seed list selections. Results show that the learned patterns can be used to extract new relations with good precision.

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  • Most of the existing multi-document summarization methods decompose the documents into sentences and work directly in the sentence space using a term-sentence matrix. However, the knowledge on the document side, i.e. the topics embedded in the documents, can help the context understanding and guide the sentence selection in the summarization procedure. In this paper, we propose a new Bayesian sentence-based topic model for summarization by making use of both the term-document and term-sentence associations. ...

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  • Opinion analysis is an important research topic in recent years. However, there are no common methods to create evaluation corpora. This paper introduces a method for developing opinion corpora involving multiple annotators. The characteristics of the created corpus are discussed, and the methodologies to select more consistent testing collections and their corresponding gold standards are proposed. Under the gold standards, an opinion extraction system is evaluated. The experiment results show some interesting phenomena. ...

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  • Advanced Topics in Sorting Many sorting algorithms to choose from; Insertion sort, selection sort, bubblesort, shaker sort; Quicksort, mergesort, heapsort, samplesort, shellsort; Solitaire sort, red-black sort, splaysort, Dobosiewicz sort, psort.

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  • Topic 1A - Country selection/research and suggested approach. In this chapter, students will be able to understand: Country selections, country risk selection methodology, empirical research on country selection, research: survey of risk factors, project specific risk measure approach.

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  • Topic 14 - Selecting distributions, distribution fitting and the normal curve using @Risk. After completing this unit, you should be able to: Select distributions other than the normal distribution, simulate portfolio returns and free cash flows by fitting a distribution, insert distributions using @Risk menu.

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  • This material is written for students who major in E-commerce. The topics selected mostly deal with basic areas of business and economics. They are presented in an order from a sole proprietorship to a multinational corporation. Each lesson is introduced and related to the previous lesson. Besides, students also have chance to deal with several topics related to information technology which has a very close relationship with e-commerce.

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  • "The New Oxford Picture Dictionary" and its components provide a complete, four-skills language development program. The program is: practical - a wide range of topics introduce new words in their most common context; easy to use - vocabulary items are presented without ambiguity or the need for translation versatile - the Dictionary itself and its components have unlimited applications; and flexible - the Dictionary can be used alone or with its components.

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  • Mời các bạn cùng tham khảo phần 2 Ebook 326 selected essays & writings for all purposes, Topics & Levels (Tuyển tập các bài luận sơ cấp, trung cấp & nâng cao) sau đây với những bài luận có hướng dẫn, qua đó giúp bạn đọc nâng cao kỹ năng viết tiếng Anh của bản thân. Đây là tài liệu tham khảo cho những ai đang học tiếng Anh, đặc biệt đang muốn luyện kỹ năng viết, lập luận bằng tiếng Anh.

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  • Ebook 326 selected essays & writings for all purposes, Topics & Levels (Tuyển tập các bài luận sơ cấp, trung cấp & nâng cao) sẽ tổng hợp các bài luận từ các đề tài khác nhau trong đời sống hằng ngày, trong gia đình, nhà trường, xã hội, các vấn đề thương mại,... được tổng hợp theo mức độ từ dễ đến khó nhằm luyện kỹ năng viết tiếng Anh của các bạn. Sách gồm 2 phần. Mời các bạn cùng tham khảo nội dung phần 1 ebook sau đây.

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  • Đề thi học sinh giỏi môn Anh dành cho những bạn nào chuẩn bị dự kì thi học sinh giỏi, học sinh trường chuyên lớp chọn.Qua đó phần nào hệ thống kiến thức, cấu trúc ngữ pháp và kĩ năng xử lý tình huống trong bài thi.Chúc các bạn ôn tập tốt và có kết quả thật cao

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