This paper describes the HULTECH team participation in Task 3 of SemEval-2014. Four different subtasks are provided to the participants, who are asked to determine the semantic similarity of cross-level test pairs: paragraphto-sentence, sentence-to-phrase, phrase-toword and word-to-sense. Our system adopts a unified strategy (general purpose system) to calculate similarity across all subtasks based on word Web frequencies. For that purpose, we define ClueWeb InfoSimba, a cross-level similarity corpus-based metric. Results show that our strategy overcomes the proposed baselines and achieves adequate to moderate results when compared to other systems.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.