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A Semantic Similarity Measurement Tool for WordNet-Like Databases

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Human Language Technology. Challenges for Computer Science and Linguistics (LTC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10930))

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Abstract

The paper describes a new framework for computing the semantic similarity of words and concepts using WordNet-like databases. The main advantage of the presented approach is the ability to implement similarity measures as concise expressions in the embedded query language. The preliminary results of the use of the framework to model the semantic similarity of Polish nouns are reported.

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Notes

  1. 1.

    A joint transitive hypernym of two synsets such that no other joint transitive hypernym of these synsets is placed below it within the hypernymy hierarchy.

  2. 2.

    Databases that are organized similarly to WordNet [4], called wordnets in the rest of the paper.

  3. 3.

    Through the JWI library [5].

  4. 4.

    We assume in the following examples that all commands are invoked in the Linux shell environment.

  5. 5.

    Interested readers can consult [11].

  6. 6.

    The synsets satisfying the condition empty(hypernym).

  7. 7.

    The pair środek dnia/południe is omitted in Table 3, since środek dnia occurs in neither PlWordNet 2.2 nor in PolNet 3.0.

  8. 8.

    In the case of information content-based measures.

  9. 9.

    With the exception of Pearson’s correlation coefficient for the Jiang-Conrath measure.

  10. 10.

    Polynomial kernels of degrees 2 and 3 were considered.

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Authors and Affiliations

  1. Faculty of Mathematics and Computer Science, Department of Computer Linguistics and Artificial Intelligence, Adam Mickiewicz University, ul. Umultowska 87, 61-614, Poznań, Poland

    Marek Kubis

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  1. Adam Mickiewicz University, Poznań, Poland

    Zygmunt Vetulani

  2. LIMSI-CNRS, Orsay Cedex, France

    Joseph Mariani

  3. Adam Mickiewicz University, Poznań, Poland

    Marek Kubis

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Kubis, M. (2018). A Semantic Similarity Measurement Tool for WordNet-Like Databases. In: Vetulani, Z., Mariani, J., Kubis, M. (eds) Human Language Technology. Challenges for Computer Science and Linguistics. LTC 2015. Lecture Notes in Computer Science(), vol 10930. Springer, Cham. https://doi.org/10.1007/978-3-319-93782-3_12

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  • DOI: https://doi.org/10.1007/978-3-319-93782-3_12

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