Wild Devs' at SemEval-2017 Task 2: Using Neural Networks to Discover Word Similarity
2017-08-01SEMEVAL 2017Unverified0· sign in to hype
R{\u{a}}zvan-Gabriel Rotari, Ionu{\textcommabelow{t}} Hulub, {\textcommabelow{S}}tefan Oprea, Mihaela Pl{\u{a}}mad{\u{a}}-Onofrei, Alina Beatrice Loren{\c{t}}, Raluca Preisler, Adrian Iftene, Tr, Diana ab{\u{a}}{\textcommabelow{t}}
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This paper presents Wild Devs' participation in the SemEval-2017 Task 2 ``Multi-lingual and Cross-lingual Semantic Word Similarity'', which tries to automatically measure the semantic similarity between two words. The system was build using neural networks, having as input a collection of word pairs, whereas the output consists of a list of scores, from 0 to 4, corresponding to the degree of similarity between the word pairs.