IBM SystemT: Difference between revisions
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SystemT is available as part of IBM BigInsights <ref>{{Citation | url = https://www.ibm.com/analytics/us/en/technology/biginsights/ | title = IBM BigInsights}}</ref>, and has also been taught in multiple universities around the globe. A version of SystemT was available (starting in September 2016) as a companion to a sequence of online courses in Text Analytics<ref>{{Citation | url = https://cognitiveclass.ai/courses/systemt/ | title = Text Analytics: Getting Results with SystemT}}</ref>. |
SystemT is available as part of IBM BigInsights <ref>{{Citation | url = https://www.ibm.com/analytics/us/en/technology/biginsights/ | title = IBM BigInsights}}</ref>, and has also been taught in multiple universities around the globe. A version of SystemT was available (starting in September 2016) as a companion to a sequence of online courses in Text Analytics<ref>{{Citation | url = https://cognitiveclass.ai/courses/systemt/ | title = Text Analytics: Getting Results with SystemT}}</ref>. |
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<ref>{{Cite journal|last=Chiticariu|first=Laura|last2=Danilevsky|first2=Marina|last3=Li|first3=Yunyao|last4=Reiss|first4=Frederick|last5=Zhu|first5=Huaiyu|title=SystemT: Declarative Text Understanding for Enterprise|url=https://www.aclweb.org/anthology/N18-3010|journal=Proceedings of the 2018 Conference of the North |
<ref>{{Cite journal|last=Chiticariu|first=Laura|last2=Danilevsky|first2=Marina|last3=Li|first3=Yunyao|last4=Reiss|first4=Frederick|last5=Zhu|first5=Huaiyu|title=SystemT: Declarative Text Understanding for Enterprise|url=https://www.aclweb.org/anthology/N18-3010|journal=Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers)|publisher=Association for Computational Linguistics|pages=76-83}}</ref> |
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==References== |
==References== |
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Revision as of 00:20, 19 July 2019
| Developer(s) | IBM |
|---|---|
| Written in | AQL, Java |
| Operating system | Linux, macOS, Windows |
| Type | Information Extraction, Text mining |
| Website | SystemT |
IBM SystemT is a declarative information extraction system. It was first built in 2005, as a research project at IBM's IBM Almaden Research Center. Its name is partially inspired by System R, a seminal project from the same research center.
SystemT[1] comprises the following three main components: (1) AQL, a declarative rule language with a similar syntax to SQL; (2) Optimizer, which accepts AQL statements as input and generates high-performance algebraic execution plans; and (3) Executing engine, which executes the plan generated by the Optimizer and performs information extraction over input documents.
SystemT is available as part of IBM BigInsights [2], and has also been taught in multiple universities around the globe. A version of SystemT was available (starting in September 2016) as a companion to a sequence of online courses in Text Analytics[3].
References
- ^ Chiticariu, Laura; Krishnamurthy, Rajasekar; Li, Yunyao; Raghavan, Sriram; Reiss, Frederick R.; Vaithyanathan, Shivakumar (2010-01-01). "SystemT: An Algebraic Approach to Declarative Information Extraction". Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics. ACL '10. Uppsala, Sweden: Association for Computational Linguistics: 128–137.
- ^ IBM BigInsights
- ^ Text Analytics: Getting Results with SystemT
- ^ Chiticariu, Laura; Danilevsky, Marina; Li, Yunyao; Reiss, Frederick; Zhu, Huaiyu. "SystemT: Declarative Text Understanding for Enterprise". Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers). Association for Computational Linguistics: 76–83.
External links
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