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1.
Learners may increasingly encounter conflicting expert reports. However, little is known about how they deal with this challenge. We examined how learners' familiarity with a controversial historical topic affects their epistemic judgments of conflicting expert claims and sources, the interplay of their claim and source evaluation strategies, and their meta-epistemic understanding of the legitimacy of the disagreement (absolutist, multiplist, and evaluativist perspectives). In two studies, topic familiarity increased agreement with belief-consistent expert claims and the perceived trustworthiness of the expert who presented these claims. Topic familiarity also impacted the coordination of evaluation strategies and led to greater reliance on knowledge-based validation. However, topic familiarity did not affect meta-epistemic understanding of the legitimacy of the controversy. In the second study, reading an explanation about reasons for disagreements between historians resulted in higher evaluativism. Teaching about expert disagreement may be a productive approach for promoting appreciation of the diversity of knowledge.  相似文献   
2.
Aspect mining, which aims to extract ad hoc aspects from online reviews and predict rating or opinion on each aspect, can satisfy the personalized needs for evaluation of specific aspect on product quality. Recently, with the increase of related research, how to effectively integrate rating and review information has become the key issue for addressing this problem. Considering that matrix factorization is an effective tool for rating prediction and topic modeling is widely used for review processing, it is a natural idea to combine matrix factorization and topic modeling for aspect mining (or called aspect rating prediction). However, this idea faces several challenges on how to address suitable sharing factors, scale mismatch, and dependency relation of rating and review information. In this paper, we propose a novel model to effectively integrate Matrix factorization and Topic modeling for Aspect rating prediction (MaToAsp). To overcome the above challenges and ensure the performance, MaToAsp employs items as the sharing factors to combine matrix factorization and topic modeling, and introduces an interpretive preference probability to eliminate scale mismatch. In the hybrid model, we establish a dependency relation from ratings to sentiment terms in phrases. The experiments on two real datasets including Chinese Dianping and English Tripadvisor prove that MaToAsp not only obtains reasonable aspect identification but also achieves the best aspect rating prediction performance, compared to recent representative baselines.  相似文献   
3.
陈念平 《资源科学》1996,18(6):24-31
本文根据郁金香的生物学特性,结合我国河北滦平县的气候、土壤等自然资源条件,自1991年起,中国科学院滦平试验站从国内引种50多个郁金香品种,经过几年的栽培、驯化试验,发现郁金香在当地的生长发育状况表现出:生根时间短、球根后期生长良好、经济效益高等特点。试验研究*郁金香、引种、驯化、栽培试验、河北省滦  相似文献   
4.
拉萨河下游河谷区三叶草引种品比试验研究   总被引:5,自引:0,他引:5  
针对拉萨河谷的自然气候条件, 选择了9种三叶草品种进行集中品比试验, 观察各种牧草的越冬率、生育期、高生长速率和产草量等生产形状。结果表明, 拉萨河谷下游河谷区适合引种栽培三叶草,三叶草能够顺利越冬,能够取得与其它地区相似气候条件下的相当产量。在参试品种中,Zgrk8802 红三叶、Beskyd红三叶和Vesna 红三叶是适宜于拉萨河谷下游的优良牧草品种,在越冬率、产草量、生长期和生长速率方面表现都是优良的品种,值得在拉萨河谷下游区推广。  相似文献   
5.
齐悦 《中国科技信息》2007,(11):252-254
本文综述了支持口语教学改革的理论基础,探讨了非英语专业大学生英语口语课堂教学模式,并提出在口语教学改革中需要注意的几点,从而为英语教学改革提供一些新的思路及可能性。  相似文献   
6.
射影几何是非度量形式的几何。较之于欧氏几何,不仅观点不同,而且概念极其抽象。因此,上好绪论课和理解透概念对于学生学好该门课程非常重要。本文拟就教学实践的具体做法,谈了作者的看法。  相似文献   
7.
In this paper, we propose a new language model, namely, a dependency structure language model, for topic detection and tracking (TDT) to compensate for weakness of unigram and bigram language models. The dependency structure language model is based on the Chow expansion theory and the dependency parse tree generated by a linguistic parser. So, long-distance dependencies can be naturally captured by the dependency structure language model. We carried out extensive experiments to verify the proposed model on topic tracking and link detection in TDT. In both cases, the dependency structure language models perform better than strong baseline approaches.  相似文献   
8.
In this paper, we present a topic discovery system aimed to reveal the implicit knowledge present in news streams. This knowledge is expressed as a hierarchy of topic/subtopics, where each topic contains the set of documents that are related to it and a summary extracted from these documents. Summaries so built are useful to browse and select topics of interest from the generated hierarchies. Our proposal consists of a new incremental hierarchical clustering algorithm, which combines both partitional and agglomerative approaches, taking the main benefits from them. Finally, a new summarization method based on Testor Theory has been proposed to build the topic summaries. Experimental results in the TDT2 collection demonstrate its usefulness and effectiveness not only as a topic detection system, but also as a classification and summarization tool.  相似文献   
9.
语言与文化是紧密相连的,中西文化差异、文化成见甚至文化冲突是大学英语教学中的最大障碍,因此适时适当的中西文化导入可以帮助学生在了解本土文化的同时,培养并加强学生的跨文化意识,提高其跨文化交际能力和综合文化素养,以适应社会发展和国际交流的需要.  相似文献   
10.
《交通运输工程概论》是交通类专业面向大学一年级实施的一门专业先导课程,因此从交通运输工程类本科学生培养过程角度,确定了引导学生了解专业涉及领域的基本轮廓线条和任务演变,使其在其后展开的专业课学习中能够将各门专业课知识贯穿成为一个整体,建立乐于学习和探索学习态度的教学目标,组织由一个前导板块、四个行业工程领域板块、两个服务体系板块和三个技术板块构成的教学内容。教学方法强调学生观察能力、获取知识能力和双语能力的培养,并对相应的评价考核体系进行调整。  相似文献   
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