Abstract
In the paper we present a preliminary work on automatic construction of rules for recognition of semantic relations between pairs of proper names in Polish texts. Our goal was to check the feasibility of automatic rule construction using existing inductive logic programming (ILP) system as an alternative or supporting method for manual rule creation. We present a set of predicates in first-order logic that is used to represent the semantic relation recognition task. The background knowledge encode the morphological, orthographic and named entity-based features. We applied an ILP on the proposed representation to generate rules for relation extraction. We have utilized an existing ILP system called Aleph [1]. The performance of automatically generated rules was compared with a set of hand-crafted rules developed on the basis of training set for 8 categories of relations (affiliation, alias, creator, composition, location, nationality, neighbourhood, origin). Finally, we proposed several ways how to improve to preliminary results in the future work.
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Marcińczuk, M., Ptak, M. (2012). Preliminary Study on Automatic Induction of Rules for Recognition of Semantic Relations between Proper Names in Polish Texts. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2012. Lecture Notes in Computer Science(), vol 7499. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32790-2_32
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DOI: https://doi.org/10.1007/978-3-642-32790-2_32
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