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The evaluation model assumes a bilingual user who has found some documents on a topic and identified a few passages in each language on specific aspects of that topic that are of interest. Additional passages are then automatically labeled using a k\u2010Nearest\u2010Neighbor classifier and local (i.e., result set) Latent Semantic Analysis (LSA). Experiments show that when few manually annotated passages are available in either language, a classification system trained using passages from both languages can often achieve higher effectiveness than a similar system trained using passages from just one language. Using this experimental framework, this paper answers three technical research questions: whether the normalized cosine similarity measure is better than the more common unnormalized cosine similarity measure (yes), whether the number of retained LSA dimensions (which was heuristically chosen) is appropriate (yes), and whether partial corrections of the translated training examples in the LSA space can yield an improvement over no correction (no).<\/jats:p>","DOI":"10.1002\/meet.14505001039","type":"journal-article","created":{"date-parts":[[2014,5,8]],"date-time":"2014-05-08T16:35:28Z","timestamp":1399566928000},"page":"1-12","source":"Crossref","is-referenced-by-count":1,"title":["English and Chinese bilingual topic aspect classification: Exploring similarity measures, optimal LSA dimensions, and centroid correction of translated training examples"],"prefix":"10.1002","volume":"50","author":[{"given":"Yejun","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Douglas W.","family":"Oard","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2014,5,8]]},"reference":[{"issue":"11","key":"e_1_2_7_2_1","first-page":"613","article-title":"Cross\u2010lingual text categorization","volume":"18","author":"Bel N.","year":"2003","journal-title":"European Conference on Digital Libraries (ECDL),"},{"key":"e_1_2_7_3_1","doi-asserted-by":"crossref","unstructured":"Darwish K.&Oard D.(2003).Probabilistic Structured Query Methods Proceedings of the 26th Annual International ACM SIGIR conference on Research and Development in Information Retrieval July 2003 Toronto Canada.","DOI":"10.1145\/860496.860497"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9"},{"key":"e_1_2_7_5_1","doi-asserted-by":"crossref","unstructured":"Dudani S.(1976).The Distance\u2010Weighted k\u2010Nearest\u2010Neighbor Rule IEEE Transactions on Systems Man and Cybernetics 6(4)325\u2010327.","DOI":"10.1109\/TSMC.1976.5408784"},{"key":"e_1_2_7_6_1","doi-asserted-by":"crossref","unstructured":"Dumais S.(1991).Improving the Retrieval of Information from External Sources Behavior Research Methods Instruments and Computers 23(2)229\u2010236.","DOI":"10.3758\/BF03203370"},{"key":"e_1_2_7_7_1","doi-asserted-by":"crossref","unstructured":"Gliozzo A.&Strapparava C.(2006).Exploiting comparable corpora and bilingual dictionaries for cross\u2010language text categorization. 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