Wild Devs' at SemEval-2017 Task 2: Using Neural Networks to Discover Word Similarity

SEMEVAL 2017 R{\u{a}}zvan-Gabriel RotariIonu{\textcommabelow{t}} Hulub{\textcommabelow{S}}tefan OpreaMihaela Pl{\u{a}}mad{\u{a}}-OnofreiAlina Beatrice Loren{\c{t}}Raluca PreislerAdrian IfteneTrDiana ab{\u{a}}{\textcommabelow{t}}

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...

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