REFRACTIVE: An Open Source Tool to Extract Knowledge from Syntactic and Semantic Relations
(2014) LREC, The 9th edition of the Language Resources and Evaluation Conference p.2584-2589- Abstract
- The extraction of semantic propositions has proven instrumental in applications like IBM Watson (Ferrucci, 2012) and in Google’s knowledge graph (Singhal, 2012). 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 (Fan et al., 2010). 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... (More)
- The extraction of semantic propositions has proven instrumental in applications like IBM Watson (Ferrucci, 2012) and in Google’s knowledge graph (Singhal, 2012). 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 (Fan et al., 2010). 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4450627
- author
- Exner, Peter LU and Nugues, Pierre LU
- organization
- publishing date
- 2014
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of LREC 2014, the 9th edition of the Language Resource and Evaluation Conference
- pages
- 2584 - 2589
- publisher
- European Language Resources Association
- conference name
- LREC, The 9th edition of the Language Resources and Evaluation Conference
- conference dates
- 2014-05-28 - 2014-05-30
- external identifiers
-
- wos:000355611004033
- scopus:85037130345
- ISBN
- 978-2-9517408-8-4
- language
- English
- LU publication?
- yes
- id
- ee799a1c-0ec0-4ba8-9080-463f9f32ed84 (old id 4450627)
- alternative location
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/12_Paper.pdf
- date added to LUP
- 2016-04-04 10:03:50
- date last changed
- 2022-03-23 07:29:44
@inproceedings{ee799a1c-0ec0-4ba8-9080-463f9f32ed84, abstract = {{The extraction of semantic propositions has proven instrumental in applications like IBM Watson (Ferrucci, 2012) and in Google’s knowledge graph (Singhal, 2012). 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 (Fan et al., 2010). 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.}}, author = {{Exner, Peter and Nugues, Pierre}}, booktitle = {{Proceedings of LREC 2014, the 9th edition of the Language Resource and Evaluation Conference}}, isbn = {{978-2-9517408-8-4}}, language = {{eng}}, pages = {{2584--2589}}, publisher = {{European Language Resources Association}}, title = {{REFRACTIVE: An Open Source Tool to Extract Knowledge from Syntactic and Semantic Relations}}, url = {{https://lup.lub.lu.se/search/files/5451686/4450628.pdf}}, year = {{2014}}, }