DBnary: Wiktionary as a Lemon-based multilingual lexical resource in RDF

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SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation (2017, methodology): “CompiLIG (Ferrero et al., 2017) The best Spanish-English performance on SNLI sentences was achieved by CompiLIG using the following cross-lingual features: conceptual similarity using DBNary (Serasset, 2015), MultiVec word embeddings (Berard et al., 2016) and character n-grams.”
MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Bible (2019, background): “These resources feed truly multilingual approaches, such as machine translation [13], syntax parsing [14], automatic speech recognition [15, 16], lexical disambiguation [17, 18] and computational dialectology [19].”
CompiLIG at SemEval-2017 Task 1: Cross-Language Plagiarism Detection Methods for Semantic Textual Similarity (2017, background): “More precisely, we use the top 10 closest words in the embeddings model and all the available translations from DBNary to build the bag of words of a word.”