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Showing papers on "Applied science published in 2005"


Dissertation
01 Jan 2005
TL;DR: This thesis focuses on two segmentation tasks, named-entity recognition and Chinese word segmentation, and shows that features derived from unlabeled data substantially improves performance, both in terms of reducing the amount of labeled data needed to achieve a certain performance level and in termsof reducing the error using a fixed amount of labeling data.
Abstract: Statistical supervised learning techniques have been successful for many natural language processing tasks, but they require labeled datasets, which can be expensive to obtain. On the other hand, unlabeled data (raw text) is often available "for free" in large quantities. Unlabeled data has shown promise in improving the performance of a number of tasks, e.g. word sense disambiguation, information extraction, and natural language parsing. In this thesis, we focus on two segmentation tasks, named-entity recognition and Chinese word segmentation. The goal of named-entity recognition is to detect and classify names of people, organizations, and locations in a sentence. The goal of Chinese word segmentation is to find the word boundaries in a sentence that has been written as a string of characters without spaces. Our approach is as follows: In a preprocessing step, we use raw text to cluster words and calculate mutual information statistics. The output of this step is then used as features in a supervised model, specifically a global linear model trained using the Perceptron algorithm. We also compare Markov and semi-Markov models on the two segmentation tasks. Our results show that features derived from unlabeled data substantially improves performance, both in terms of reducing the amount of labeled data needed to achieve a certain performance level and in terms of reducing the error using a fixed amount of labeled data. We find that sometimes semi-Markov models can also improve performance over Markov models. Thesis Supervisor: Michael Collins Title: Assistant Professor, CSAIL

342 citations


Journal ArticleDOI
TL;DR: In this article, the authors analyse how first year university physics textbooks present the introduction of the concept and theories of magnetic field and show that despite the increasing number of studies into the Nature of Science in Science Education, physics textbooks fail to adopt the results of this research.
Abstract: This study aims to analyse, based on common characteristics of the Nature of Science, how first year university Physics textbooks present the introduction of the concept and theories of magnetic field. It shows that despite the increasing number of studies into the Nature of Science in Science Education, Physics textbooks fail to adopt the results of this research. It is proposed that it would be plausible for textbooks to illustrate the characteristics of the Nature of Science by focusing on problems and changes in the development of the theory of magnetic field.

46 citations


Dissertation
01 Jan 2005

43 citations


Book
31 Oct 2005
TL;DR: An occult science a mechanical science an independent science the fundamental science a revolutionary or inductive science? the experimental science a useful science a deductive science a descriptive classifying science a teachable science a reduced science a service science.
Abstract: An occult science a mechanical science an independent science the fundamental science a revolutionary or inductive science? the experimental science a useful science a deductive science a descriptive classifying science a teachable science a reduced science a service science.

37 citations


01 Nov 2005

15 citations


12 Jun 2005
TL;DR: The “shrinking pipeline” is a common metaphor for the underrepresentation of women in computer science (CS), an increasingly well-known (if not well-understood) phenomenon that the further one progresses in CS academia the fewer women there are.
Abstract: The “shrinking pipeline” is a common metaphor for the underrepresentation of women in computer science (CS), an increasingly well-known (if not well-understood) phenomenon. The further one progresses in CS academia—from undergraduate study to graduate study to faculty rank—the fewer women there are. (For a comprehensive discussion of the underrepresentation of women in CS, see G̈urer and Camp. 13) At the undergraduate level in the U.S., CS is the only science, technology, engineering, and mathematics (STEM) field whose gender gap has widenedduring the last two decades. 11 In the U.S., only 28% of Bachelor’s degrees in computer and information sciences went to women in 2002, down from a high of nearly 40% in the mid 1980s (Figure 1). As in past years, research departments are faring worse; in U.S. and Canadian Ph.D.-granting departments, 18% of Bachelor’s degrees in computer science and engineering went to women in 2003.25

13 citations



Journal ArticleDOI
Gustaf Östberg1
TL;DR: In this article, a review deals with issues of integration of sciences versus specialization, ideas about a comprehensive theory of materials, internal and external driving forces for scientific studies, engineering practice, professional competence, and educational consequences with an emphasis on understanding.

8 citations






Journal Article
TL;DR: In this article, the authors studied the nature of science from two aspects: definition and connotation, and discussed the aim and content, the process and method of science education, and concluded that science is an outcome as well as a process.
Abstract: The nature of science is an essential issue in the domain of science education. This article studied the nature of science from two aspects:definition and connotation.Science is an outcome as well as a process.The outcome and process combines together.Inquiry and thinking,attitude and spirits,knowledge and capability are three important meanings of science.Based on the nature of science, the author discussed the aim and content, the process and method of science education.




01 Apr 2005
TL;DR: Computer Science meets every criterion for being a science, but it has a self-inflicted credibility problem.
Abstract: Computer Science meets every criterion for being a science, but it has a self-inflicted credibility problem.






01 Jan 2005
TL;DR: In this article, the authors propose a method for measuring the performance of a single node in a set of images.ING and INDEXING, e.g., this article.
Abstract: ING AND INDEXING

Journal Article
TL;DR: The modern science and technology is being closely combined with the engineering activity The complexity degree in structure of engineering activity is increasing Consequently, engineering science is appearing as the new science The engineering science was provided with the character of system science, complexity science, cross science and synthesis science Our country is being in the process of industrialization, marketlization, socialization, informationalization, eclogicalization as mentioned in this paper.
Abstract: The modern science and technology is being closely combined with the engineering activity The complexity degree in structure of the engineering activity is increasing Consequently, engineering science is appearing as the new science The engineering science is provided with the character of system science, complexity science, cross science and synthesis science Our country is being in the process of industrialization, marketlization, socialization, informationalization, eclogicalization Hence, the engineering conception in industrialization times has not been able to express the new demand of society to the engineering construction, and has not suited to the requirement of the times' development to engineering construction and engineering innovation Developing researching of engineering philosophy and founding the new conception about engineering is a problem that the circles of philosopher and the circles of engineer study together