Abstract
In this work we propose a new method for word similarity. Assuming that each word corresponds to a unit of semantics, called synset, with categorical features, called domain, we construct a domain graph of a synset which is all the hypernyms which belong to the domain of the synset. Here we take an advantage of domain graphs to reflect semantic aspect of words. In experiments we show how well the domain graph approach goes well with word similarity. Then we extend the domain graph in sentence similarity independent of BOW. In addition we assess the execution time in terms of the task and show the significant improvements.
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Notes
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Sometimes this is called a ring.
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There are 45 Lexicographer Files based on syntactic category and logical groupings. They contain synsets during WordNet development. There is another approach WordNet Domains which is a lexical resource created in a semi-automatic way by augmenting WordNet with domain labels. To each synset, there exists at least one semantic domain label annotated by hands from 200 labels [1].
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Konaka, F., Miura, T. (2016). Domain Graph for Sentence Similarity. In: Amsaleg, L., Houle, M., Schubert, E. (eds) Similarity Search and Applications. SISAP 2016. Lecture Notes in Computer Science(), vol 9939. Springer, Cham. https://doi.org/10.1007/978-3-319-46759-7_12
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