Grammatical Case Based IS-A Relation Extraction with Boosting for Polish
Paweł Łoziński, Dariusz Czerski, Mieczysław A. Kłopotek · Annals of Computer Science and Information Systems · 2016
Pattern-based methods of IS-A relation extraction relyheavily on so called Hearst patterns.These are ways of expressing instance enumerations of a class in natural language.While these lexico-syntactic patterns prove quite useful, they may not capture all taxonomical relations expressed in text.Therefore in this paper we describe a novel method of IS-A relation extraction from patterns, which uses morpho-syntactical annotations along with grammatical case of noun phrases that constitute entities participating in IS-A relation.We also describe a method for increasing the number of extracted relations that we call pseudosubclass boosting which has potential application in any patternbased relation extraction method.Experiments were conducted on a corpus of about 0.5 billion web documents in Polish language.