@inproceedings{chiticariu-etal-2018-systemt,
title = "{S}ystem{T}: Declarative Text Understanding for Enterprise",
author = "Chiticariu, Laura and
Danilevsky, Marina and
Li, Yunyao and
Reiss, Frederick and
Zhu, Huaiyu",
editor = "Bangalore, Srinivas and
Chu-Carroll, Jennifer and
Li, Yunyao",
booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers)",
month = jun,
year = "2018",
address = "New Orleans - Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/N18-3010",
doi = "10.18653/v1/N18-3010",
pages = "76--83",
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.",
}
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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.</abstract>
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%0 Conference Proceedings
%T SystemT: Declarative Text Understanding for Enterprise
%A Chiticariu, Laura
%A Danilevsky, Marina
%A Li, Yunyao
%A Reiss, Frederick
%A Zhu, Huaiyu
%Y Bangalore, Srinivas
%Y Chu-Carroll, Jennifer
%Y Li, Yunyao
%S Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers)
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans - Louisiana
%F chiticariu-etal-2018-systemt
%X 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.
%R 10.18653/v1/N18-3010
%U https://aclanthology.org/N18-3010
%U https://doi.org/10.18653/v1/N18-3010
%P 76-83
Markdown (Informal)
[SystemT: Declarative Text Understanding for Enterprise](https://aclanthology.org/N18-3010) (Chiticariu et al., NAACL 2018)
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.