Abstract
This work describes an information extraction methodology which uses shallow parsing. We present detailed information on the extraction process, data structures used within that process as well as the evaluation of the described method. The extraction is fully automatic. Instead of machine learning it uses predefined frame templates and vocabulary stored within a domain ontology with elements related to frame templates. The architecture of the information extractor is modular and the main extraction module is capable of processing various languages when lexicalization for these languages is provided.
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Dutkiewicz, J., Falkowski, M., Nowak, M., Jędrzejek, C. (2014). Semantic Extraction with Use of Frames. In: Przepiórkowski, A., Ogrodniczuk, M. (eds) Advances in Natural Language Processing. NLP 2014. Lecture Notes in Computer Science(), vol 8686. Springer, Cham. https://doi.org/10.1007/978-3-319-10888-9_22
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DOI: https://doi.org/10.1007/978-3-319-10888-9_22
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10887-2
Online ISBN: 978-3-319-10888-9
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