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In Korean information retrieval, compound nouns play an important role in improving precision in search experiments. There are two major approaches to compound noun indexing in Korean: statistical and linguistic. Each method, however, has its own shortcomings, such as limitations when indexing diverse types of compound nouns, over-generation of compound nouns, and data sparseness in training. In this paper, we propose a corpus-based learning method, which can index diverse types of compound nouns using rules automatically extracted from a large corpus. The automatic learning method is more portable and requires less human effort, although it exhibits a performance level similar to the manual-linguistic approach. We also present a new filtering method to solve the problems of compound noun over-generation and data sparseness.  相似文献   
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BACKGROUND: The analysis included forty-one academic health sciences library (HSL) Websites as captured in the first two weeks of January 2001. Home pages and persistent navigational tools (PNTs) were analyzed for layout, technology, and links, and other general site metrics were taken. METHODS: Websites were selected based on rank in the National Network of Libraries of Medicine, with regional and resource libraries given preference on the basis that these libraries are recognized as leaders in their regions and would be the most reasonable source of standards for best practice. A three-page evaluation tool was developed based on previous similar studies. All forty-one sites were evaluated in four specific areas: library general information, Website aids and tools, library services, and electronic resources. Metrics taken for electronic resources included orientation of bibliographic databases alphabetically by title or by subject area and with links to specifically named databases. RESULTS: Based on the results, a formula for determining obligatory links was developed, listing items that should appear on all academic HSL Web home pages and PNTs. CONCLUSIONS: These obligatory links demonstrate a series of best practices that may be followed in the design and construction of academic HSL Websites.  相似文献   
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Currently, about ten Goryeo dynasty (918–1392 CE) sutra boxes are preserved in museums in Korea, Japan, the United States, the Netherlands, and the United Kingdom. This article is the result of an examination of a sutra box in the collection of the Rijksmuseum, Amsterdam (hereafter ‘Rijksmuseum sutra box’), which was first introduced to a European audience in the Transactions and Proceedings of the Japanese Society, in 1913–1914. The Rijksmuseum sutra box differs from other Goryeo sutra boxes. With its altered structure and modified motifs, this box bears significant value, not only for the research of thirteenth-century Goryeo mother-of-pearl art, but also for the study of cross-cultural adaptations in East Asian lacquer art. This article investigates the date of manufacture of the sutra box by analysing the manufacturing techniques and its various original and modified parts. For this, an X-ray radiograph was carried out for the first time. As a result, discoveries have been made regarding the structure and decoration of the lower part, which has been modified and is different from Goryeo mother-of-pearl sutra boxes. Finally, this paper reconsiders conservation and repair of Goryeo sutra boxes, as illuminated by an understanding of the original and repaired parts of this box.  相似文献   
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This study is a social media analysis on the use of Twitter at Historically Black Colleges and University (HBCU) libraries. While information science researchers have begun examining how libraries use social media, the vast majority of these studies are situated at large flagship research-intensive universities. Additionally, there currently exist deficiencies in research on social media deployment at HBCU libraries. We leverage, the IBM Watson's analytic engine, to systemically examine over 23,000, tweets over an eighteen-month period, around a set of objective measures including propagation of retweets and sentiment to assess follower engagement. The analysis found little evidence of follower engagement with library generated content. However, we observed a substantial volume of library tweets coalesced around institutional boosterism, rather than library related phenomena. This non-library related content represented the vast majority of retweets, but paradoxically was propagated by non-followers. Additionally, tweets relating to institutional boosterism produced the most positive sentiment within the data.  相似文献   
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