Semantic Textual Similarity Using Maximal Weighted Bipartite Graph Matching
June 2012
in “
Joint Conference on Lexical and Computational Semantics
”
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The paper focused on developing a system to assess semantic similarity between sentences by employing maximal weighted bipartite graph matching of sentence tokens. It utilized two token similarity measures: WordNet-based similarity and a statistical word similarity measure to address WordNet's limitations. The study explored three systems: a simple bag of words tokenization, a detailed tokenization capturing named entities and other specific elements, and a system incorporating grammatical dependencies to capture token context.