SystemT: Declarative Text Understanding for Enterprise

Laura Chiticariu, Marina Danilevsky, Yunyao Li, Frederick Reiss, Huaiyu Zhu

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Abstract
The rise of enterprise applications over unstructured and semi-structured documents poses new challenges to text understanding systems across multiple dimensions. We present SystemT, a declarative text understanding system that addresses these challenges and has been deployed in a wide range of enterprise applications. We highlight the design considerations and decisions behind SystemT in addressing the needs of the enterprise setting. We also summarize the impact of SystemT on business and education.
Anthology ID:
N18-3010
Volume:
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers)
Month:
June
Year:
2018
Address:
New Orleans - Louisiana
Editors:
Srinivas Bangalore, Jennifer Chu-Carroll, Yunyao Li
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
76–83
Language:
URL:
https://aclanthology.org/N18-3010
DOI:
10.18653/v1/N18-3010
Bibkey:
Cite (ACL):
Laura Chiticariu, Marina Danilevsky, Yunyao Li, Frederick Reiss, and Huaiyu Zhu. 2018. SystemT: Declarative Text Understanding for Enterprise. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers), pages 76–83, New Orleans - Louisiana. Association for Computational Linguistics.
Cite (Informal):
SystemT: Declarative Text Understanding for Enterprise (Chiticariu et al., NAACL 2018)
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PDF:
https://preview.aclanthology.org/teach-a-man-to-fish/N18-3010.pdf
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