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Lecture Notes in Computer Science
Multilingual document classification is often addressed by approaches that rely on language-specific resources (e.g., bilingual dictionaries and machine translation tools) to evaluate cross-lingual document similarities. However, the required transformations may alter the original document semantics, raising additional issues to the known difficulty of obtaining high-quality labeled datasets. To overcome such issues we propose a new framework for multilingual document classification under adoi:10.1007/978-3-319-16354-3_11 fatcat:2ysczrdjdjg4fpxnfxivsj5yjq