We present the CSF - Common Semantic Features method for metaphor detection. This method has two distinguishing characteristics: it is cross-lingual and it does not rely on the availability of extensive manually-compiled lexical resources in target languages other than English. A metaphor detecting classifier is trained on English samples and then applied to the target language. The method includes procedures for obtaining semantic features from sentences in the target language. Our experiments with Russian and English sentences show comparable results, supporting our hypothesis that a CSF-based classifier can be applied across languages. We obtain state-of-the-art performance in both languages.
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