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排序方式: 共有186条查询结果,搜索用时 17 毫秒
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This paper describes, evaluates and compares the use of Latent Dirichlet allocation (LDA) as an approach to authorship attribution. Based on this generative probabilistic topic model, we can model each document as a mixture of topic distributions with each topic specifying a distribution over words. Based on author profiles (aggregation of all texts written by the same writer) we suggest computing the distance with a disputed text to determine its possible writer. This distance is based on the difference between the two topic distributions. To evaluate different attribution schemes, we carried out an experiment based on 5408 newspaper articles (Glasgow Herald) written by 20 distinct authors. To complement this experiment, we used 4326 articles extracted from the Italian newspaper La Stampa and written by 20 journalists. This research demonstrates that the LDA-based classification scheme tends to outperform the Delta rule, and the χ2 distance, two classical approaches in authorship attribution based on a restricted number of terms. Compared to the Kullback–Leibler divergence, the LDA-based scheme can provide better effectiveness when considering a larger number of terms. 相似文献
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This paper reports on the underlying IR problems encountered when dealing with the complex morphology and compound constructions found in the Hungarian language. It describes evaluations carried out on two general stemming strategies for this language, and also demonstrates that a light stemming approach could be quite effective. Based on searches done on the CLEF test collection, we find that a more aggressive suffix-stripping approach may produce better MAP. When compared to an IR scheme without stemming or one based on only a light stemmer, we find the differences to be statistically significant. When compared with probabilistic, vector-space and language models, we find that the Okapi model results in the best retrieval effectiveness. The resulting MAP is found to be about 35% better than the classical tf idf approach, particularly for very short requests. Finally, we demonstrate that applying an automatic decompounding procedure for both queries and documents significantly improves IR performance (+10%), compared to word-based indexing strategies. 相似文献
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Martin Jacques 《Inter-Asia Cultural Studies》2013,14(2):174-177
AbstractThis study analyzes Japanese and Korean ethno-national (minzoku-kokumin) education in postwar Japan. During a period of political unrest in Japan (1945–1955), some of the Korean residents and Japanese worked together to overcome the culture of Imperial Japan and its assimilative education. They also regarded themselves as people colonized by the United States, and pursued a political-cultural movement for their liberation and independence from American imperialism. The Koreans in Japan rejected compulsory education in the Japanese language. As a result, since 1956, Korean schools (Chōsengakkō), funded and supported by North Korea, were founded all across Japan. Their ethno-national education was in fact incorporated into North Korean politics, and has been considered in many studies as having overcome Japanese assimilation and ethnic inequalities. Such a view was a result of many academic Zainichi Korean studies that come from an “insider's perspective” to criticize Japanese colonialism and discrimination. In order to go beyond this insider's view, I focus on the political alliance between Zainichi Koreans and the Japanese people in their pursuit of ethno-national education. Since 2010, the Japanese state funding for Korean schools has become a major controversy in Japan. By tracing the historical background, this article intends to explain why this political issue has arisen. The ultimate purpose of this article is to suggest an ethical perspective to resolve the current political conflict regarding Korean schools in Japan. 相似文献
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Jean‐Jacques Dupin 《International Journal of Science Education》2013,35(2):249-255
Over the past decade, Donald Schön's conceptualization of professional practice as reflection‐in‐action has gained wide currency. This paper reports on a seminar, based on Schon's ideas, to assist elementary teachers in making Science a more significant part of their instructional programmes. A detailed analysis of the efforts of two of the experienced teachers involved points to problems related to: (i) the efficacy of reflection‐on‐action in facilitating reflecting‐in‐action; (ii) disjunctions between conceptual and action components of teachers' frames; and (iii) the role of substantive teacher intervention in assisting children in learning to use non‐common‐sense ways of knowing such as Science. 相似文献
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Jacques Savoy 《Information Retrieval》2007,10(6):509-529
This paper reports on the underlying IR problems encountered when indexing and searching with the Bulgarian language. For
this language we propose a general light stemmer and demonstrate that it can be quite effective, producing significantly better
MAP (around + 34%) than an approach not applying stemming. We implement the GL2 model derived from the Divergence from Randomness paradigm and find its retrieval effectiveness better than other probabilistic, vector-space and language models. The resulting
MAP is found to be about 50% better than the classical tf idf approach. Moreover, increasing the query size enhances the MAP by around 10% (from T to TD). In order to compare the retrieval
effectiveness of our suggested stopword list and the light stemmer developed for the Bulgarian language, we conduct a set
of experiments on another stopword list and also a more complex and aggressive stemmer. Results tend to indicate that there
is no statistically significant difference between these variants and our suggested approach. This paper evaluates other indexing
strategies such as 4-gram indexing and indexing based on the automatic decompounding of compound words. Finally, we analyze
certain queries to discover why we obtained poor results, when indexing Bulgarian documents using the suggested word-based
approach. 相似文献
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Fault detection and diagnosis are important issues in process engineering. Hence, a considerable interest exists in this field now from industrial practitioners as well as academic researchers, as opposed to 30 years ago. The literature on process fault diagnosis, ranging from analytical methods to artificial intelligence and statistical approaches, is largely widespread. In this paper, the modeling of the real process is known, and the state-space representation is used. The properties of the Finite Memory Observer (FMO) are studied from a global point of view for the class of linear time-varying (LTV) systems with stochastic noises. The FMO performances are framed by the study of their properties, and that of their influences on diagnosis results. Fundamentally, the generation of residuals is an essential procedure in diagnosis. So, the determination of the optimal window length of the observer is resolved, and the generation of residuals for diagnosis completed. In the first part, the design of the observer and the residual generation are shown. The second part is devoted to the study of the sensitivity and robustness of the observer and of residuals generated from the observer. 相似文献
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