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The paper addresses the detection of figurative usage of words in English text. The chosen method was to use neural nets fed by pre-trained word embeddings. The obtained results show that simple solutions, based on word embeddings only, are comparable to complex solutions, using additional information as a result of taggers or a psycholinguistic database. This approach can be easily applied to other languages, even less-studied, for which we only have raw texts available.doi:10.18653/v1/w18-0916 dblp:conf/acl-figlang/MykowieckaWM18 fatcat:z2pva6rljzg6nflifkjgpiwbqu