Abstract
The extraction of semantic propositions has proven instrumental in applications like IBM Watson and in Google’s knowledge graph . One of the core components of IBM Watson is the PRISMATIC knowledge base consisting of one billion propositions extracted from the English version of Wikipedia and the New York Times. However, extracting the propositions from the English version of Wikipedia is a time-consuming process. In practice, this task requires multiple machines and a computation distribution involving a good deal of system technicalities. In this paper, we describe Refractive, an open-source tool to extract propositions from a parsed corpus based on the Hadoop variant of MapReduce. While the complete process consists of a parsing part and an extraction part, we focus here on the extraction from the parsed corpus and we hope this tool will help computational linguists speed up the development of applications.- Anthology ID:
- L14-1138
- Volume:
- Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
- Month:
- May
- Year:
- 2014
- Address:
- Reykjavik, Iceland
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 2584–2589
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/12_Paper.pdf
- DOI:
- Cite (ACL):
- Peter Exner and Pierre Nugues. 2014. REFRACTIVE: An Open Source Tool to Extract Knowledge from Syntactic and Semantic Relations. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 2584–2589, Reykjavik, Iceland. European Language Resources Association (ELRA).
- Cite (Informal):
- REFRACTIVE: An Open Source Tool to Extract Knowledge from Syntactic and Semantic Relations (Exner & Nugues, LREC 2014)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/12_Paper.pdf