We present a case study on the role of syntactic structures towards resolving the Semantic Textual Similarity (STS) task. Although various approaches have been proposed, the research of using syntactic information to determine the semantic similarity is a relatively under-researched area. At the level of syntactic structure, it is not clear how significant the syntactic structure contributes to...

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 b...

This paper presents a knowledge-based method for measuring the semanticsimilarity of texts. While there is a large body of previous work focused on finding the semantic similarity of concepts and words, the application of these wordoriented methods to text similarity has not been yet explored. In this paper, we introduce a method that combines wordto-word similarity metrics into a text-totext m...

Semantic similarity between schema elements is greatly influenced by the context in which the elements are defined and compared. This paper emphasizes on the role of context in establishing semantic similarity between schema elements resulting two different forms of semantic similarity, i.e., shallow similarity and deep similarity. Shallow similarity is based on the inherent meanings of the ele...