Abstract
To recognize semantic frames in languages with a rich morphology, we need computational morphology. In this paper, we look at one particular framework, HFST–Helsinki Finite-State Technology, and how to use it for recognizing semantic frames in context. HFST enables tokenization, morphological analysis, tagging, and frame annotation in one single framework.
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The FrameNet-annotated texts are at https://framenet.icsi.berkeley.edu/fndrupal/index.php?q=fulltextIndex.
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Lindén, K., Hardwick, S., Silfverberg, M., Axelson, E. (2015). Using HFST—Helsinki Finite-State Technology for Recognizing Semantic Frames. In: Mahlow, C., Piotrowski, M. (eds) Systems and Frameworks for Computational Morphology. SFCM 2015. Communications in Computer and Information Science, vol 537. Springer, Cham. https://doi.org/10.1007/978-3-319-23980-4_8
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