Open Relation Extraction (ORE) overcomes the limitations of traditional IE techniques, which train individual extractors for every single relation type. Systems such as ReVerb, PATTY, OLLIE, and Exemplar have attracted much attention on English ORE. However, few studies have been reported on ORE for languages beyond English. This paper presents a syntax-based Chinese (Zh) ORE system, ZORE, for extracting relations and semantic patterns from Chinese text. ZORE identifies relation candidates from automatically parsed dependency trees, and then extracts relations with their semantic patterns iteratively through a novel double propagation algorithm. Empirical results on two data sets show the effectiveness of the proposed system.
ZORE: A Syntax-based System for Chinese Open Relation Extraction
Published 2014 in Conference on Empirical Methods in Natural Language Processing
ABSTRACT
PUBLICATION RECORD
- Publication year
2014
- Venue
Conference on Empirical Methods in Natural Language Processing
- Publication date
2014-10-01
- Fields of study
Computer Science
- Identifiers
- External record
- Source metadata
Semantic Scholar
CITATION MAP
EXTRACTION MAP
CLAIMS
- No claims are published for this paper.
CONCEPTS
- No concepts are published for this paper.
REFERENCES
Showing 1-32 of 32 references · Page 1 of 1
CITED BY
Showing 1-48 of 48 citing papers · Page 1 of 1