By a News Reporter-Staff News Editor at Information Technology Newsweekly -- A new study on Information Technology is now available. According to news reporting originating from Jerusalem, Israel, by VerticalNews correspondents, research stated, "Disambiguation of ambiguous initialisms and acronyms is critical to the proper understanding of various types of texts. A model that attempts to solve this has previously been presented."
Our news editors obtained a quote from the research from the Department of Computer Science, "This model contained various baseline features, including contextual relationship features, statistical features, and language-specific features. The domain of Jewish law documents written in Hebrew and Aramaic is known to be rich in ambiguous abbreviations and therefore this model was implemented and applied over 2 separate corpuses within this domain. Several common machine-learning (ML) methods were tested with the intent of finding a successful integration of the baseline feature variants. When the features were evaluated individually, the best averaged results were achieved by a library for support vector machines (LIBSVM); 98.07% of the ambiguous abbreviations, which were researched in the domain, were disambiguated correctly. When all the features were evaluated together, the J48 ML method achieved the best result, with 96.95% accuracy. In this paper, we examine the system's degree of success and the degree of its professionalism by conducting a comparison between this system's results and the results achieved by 39 participants, highly fluent in the research domain. Despite the fact that all the participants had backgrounds in religious scriptures and continue to study these texts, the system's accuracy rate, 98.07%, was significantly higher than the average accuracy result of the participants, 91.65%."
According to the news editors, the research concluded: "Further analysis of the results for each corpus implies that participants overcomplicate the required task, as well as exclude vital information needed to properly examine the context of a given initialism."
For more information on this research see: Initialism disambiguation: Man versus machine. Journal of the American Society for Information Science and Technology, 2013;64(10):2133-2148. Journal of the American Society for Information Science and Technology can be contacted at: Wiley-Blackwell, 111 River St, Hoboken 07030-5774, NJ, USA. (Wiley-Blackwell - www.wiley.com/; Journal of the American Society for Information Science and Technology - onlinelibrary.wiley.com/journal/10.1002/(ISSN)1532-2890)
The news editors report that additional information may be obtained by contacting Y. HaCohen-Kerner, Jerusalem Coll Technol Machon Lev, Dept. of Comp Sci, IL-9116001 Jerusalem, Israel. Additional authors for this research include A. Kass and A. Peretz.
Keywords for this news article include: Asia, Israel, Jerusalem, Information Technology
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