SemEval-2014 Task 10: Multilingual Semantic Textual Similarity

In Semantic Textual Similarity, systems rate the degree of semantic equivalence between two text snippets. This year, the participants were challenged with new
data sets for English, as well as the introduction of Spanish, as a new language in which to assess semantic similarity. For the English subtask, we exposed the
systems to a diversity of testing scenarios, by preparing additional OntoNotes-WordNet sense mappings and news headlines, as well as introducing new gen-
res, including image descriptions, DEFT discussion forums, DEFT newswire, and tweet-newswire headline mappings. For Spanish, since, to our knowledge, this is
the first time that official evaluations are conducted, we used well-formed text, by featuring sentences extracted from encyclopedic content and newswire.