1 BabelNet has been applied in many natural language processing tasks, such as multilingual lexicon extraction, crosslingual word-sense disambiguation, annotation, and information extraction, all with good performance (Elbedweihy et al., 2013;Jadidinejad, 2013;Navigli et al., 2013;Ehrmann et al., 2014;Moro et al., 2014).
babelNet is both a multilingual encyclopedic dictionary, with lexicographic and encyclopedic coverage of terms, as well as a semantic network comprising 14 million entries which connects concepts and named entities in a very large network of semantic relations.