Abstract
In this paper, we deal with the derivational (word formation) relations as they are handled by the Czech morphological module Ajka. First, we show that they represent empirically well-based semantic relations forming small semantic networks, and then we solve the problem how to integrate them into lexical database such as (Czech) WordNet. In this respect we examine the relation between the derivational relations and semantic roles (deep cases) defined as Internal Language Relations in EuroWordNet. An attempt is made to match up the inventory of the semantic roles in EWN with the derivational (semantic) relations. We also use a tool called SAFT that can process a raw (corpus) text in such a way that it uses module Ajka to find links relating the WordNet senses to the noun and verbal lemmata obtained from the raw (corpus) text. This technique allows us to enrich Czech WordNet with the derivational subnets and represent them in a XML format. The result is a new kind of the semantic network, which consists of two layers, upper and lower. The result is a more powerful and efficient resource for applications like tools for WSD, web searching or information extraction.
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Pala, K., Sedláček, R. (2005). Enriching WordNet with Derivational Subnets. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2005. Lecture Notes in Computer Science, vol 3406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30586-6_33
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DOI: https://doi.org/10.1007/978-3-540-30586-6_33
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