Paper Info
Title
Grammatical case based IS-A relation extraction with boosting for Polish
Abstract
Pattern-based methods of IS-A relation extraction rely heavily 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 pattern-based relation extraction method. Experiments were conducted on a corpus of about 0.5 billion web documents in Polish language.
Year
DOI
Venue
2016
10.15439/2016F391
2016 Federated Conference on Computer Science and Information Systems (FedCSIS)
Keywords
DocType
Volume
grammatical case,IS-A relation extraction,Polish language,Hearst patterns,instance enumerations,natural language,lexico-syntactic patterns,taxonomical relations,morpho-syntactical annotations,noun phrases,pseudosubclass boosting,pattern-based relation extraction
Conference
abs/1605.02916
ISSN
ISBN
Citations 
2300-5963
978-1-5090-0046-3
0
PageRank 
References 
Authors
0.34
16
3
Name
Order
Citations
PageRank
Pawel Lozinski100.34
Dariusz Czerski253.97
Mieczyslaw A. Klopotek336678.58