Abstract
We propose a method that facilitates a process of semi-automatic FrameNet construction. The method requires Google Books NGram dataset and WordNet or another thesaurus for a particular language. We evaluated the method for Russian ngrams. Due to a huge amount of available data the method does not require sophisticated natural language processing techniques (e.g. for word sense disambiguation), and it shows a promising result.
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Ivanov, V. (2014). Extracting Frame-Like Structures from Google Books NGram Dataset. In: Gelbukh, A., Espinoza, F.C., Galicia-Haro, S.N. (eds) Human-Inspired Computing and Its Applications. MICAI 2014. Lecture Notes in Computer Science(), vol 8856. Springer, Cham. https://doi.org/10.1007/978-3-319-13647-9_3
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DOI: https://doi.org/10.1007/978-3-319-13647-9_3
Publisher Name: Springer, Cham
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