PORE: Positive-Only Relation Extraction from Wikipedia Text

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PORE: Positive-Only Relation Extraction from Wikipedia Text
Authors
Ganglin Wang
Yong Yu
Haiping Zhu
Publication date
2007
ISSN
03029743
ISBN
3540762973;978-354076297-3
DOI
10.1007/978-3-540-76298-0_42
Links

PORE: Positive-Only Relation Extraction from Wikipedia Text - scientific work about Wikipedia quality published in 2007, written by Ganglin Wang, Yong Yu and Haiping Zhu.

Overview

Extracting semantic relations is of great importance for the creation of the Semantic Web content. It is of great benefit to semi-automatically extract relations from the free text of Wikipedia using the structured content readily available in it. Pattern matching methods that employ information redundancy cannot work well since there is not much redundancy information in Wikipedia, compared to the Web. Multi-class classification methods are not reasonable since no classification of relation types is available in Wikipedia. In this paper, authors propose PORE (Positive-Only Relation Extraction), for relation extraction from Wikipedia text. The core algorithm B-POL extends a state-of-the-art positive-only learning algorithm using bootstrapping, strong negative identifi cation, and transductive inference to work with fewer positive training exam ples. Authors conducted experiments on several relations with different amount of training data. The experimental results show that B-POL can work effectively given only a small amount of positive training examples and it significantly out per forms the original positive learning approaches and a multi-class SVM. Furthermore, although PORE is applied in the context of Wiki pedia, the core algorithm B-POL is a general approach for Ontology Population and can be adapted to other domains.

Embed

Wikipedia Quality

Wang, Ganglin; Yu, Yong; Zhu, Haiping. (2007). "[[PORE: Positive-Only Relation Extraction from Wikipedia Text]]". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 4825 LNCS, 2007, pp. 580-594. ISBN: 3540762973;978-354076297-3. ISSN: 03029743. DOI: 10.1007/978-3-540-76298-0_42.

English Wikipedia

{{cite journal |last1=Wang |first1=Ganglin |last2=Yu |first2=Yong |last3=Zhu |first3=Haiping |title=PORE: Positive-Only Relation Extraction from Wikipedia Text |date=2007 |isbn=3540762973;978-354076297-3 |issn=03029743 |doi=10.1007/978-3-540-76298-0_42 |url=https://wikipediaquality.com/wiki/PORE:_Positive-Only_Relation_Extraction_from_Wikipedia_Text |journal=Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 4825 LNCS, 2007, pp. 580-594}}

HTML

Wang, Ganglin; Yu, Yong; Zhu, Haiping. (2007). &quot;<a href="https://wikipediaquality.com/wiki/PORE:_Positive-Only_Relation_Extraction_from_Wikipedia_Text">PORE: Positive-Only Relation Extraction from Wikipedia Text</a>&quot;. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 4825 LNCS, 2007, pp. 580-594. ISBN: 3540762973;978-354076297-3. ISSN: 03029743. DOI: 10.1007/978-3-540-76298-0_42.