@inproceedings{schneider-etal-2016-interactive,
title = "Interactive Relation Extraction in Main Memory Database Systems",
author = {Schneider, Rudolf and
Guder, Cordula and
Kilias, Torsten and
L{\"o}ser, Alexander and
Graupmann, Jens and
Kozachuk, Oleksandr},
editor = "Watanabe, Hideo",
booktitle = "Proceedings of {COLING} 2016, the 26th International Conference on Computational Linguistics: System Demonstrations",
month = dec,
year = "2016",
address = "Osaka, Japan",
publisher = "The COLING 2016 Organizing Committee",
url = "https://aclanthology.org/C16-2022",
pages = "103--106",
abstract = "We present INDREX-MM, a main memory database system for interactively executing two interwoven tasks, declarative relation extraction from text and their exploitation with SQL. INDREX-MM simplifies these tasks for the user with powerful SQL extensions for gathering statistical semantics, for executing open information extraction and for integrating relation candidates with domain specific data. We demonstrate these functions on 800k documents from Reuters RCV1 with more than a billion linguistic annotations and report execution times in the order of seconds.",
}
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%0 Conference Proceedings
%T Interactive Relation Extraction in Main Memory Database Systems
%A Schneider, Rudolf
%A Guder, Cordula
%A Kilias, Torsten
%A Löser, Alexander
%A Graupmann, Jens
%A Kozachuk, Oleksandr
%Y Watanabe, Hideo
%S Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F schneider-etal-2016-interactive
%X We present INDREX-MM, a main memory database system for interactively executing two interwoven tasks, declarative relation extraction from text and their exploitation with SQL. INDREX-MM simplifies these tasks for the user with powerful SQL extensions for gathering statistical semantics, for executing open information extraction and for integrating relation candidates with domain specific data. We demonstrate these functions on 800k documents from Reuters RCV1 with more than a billion linguistic annotations and report execution times in the order of seconds.
%U https://aclanthology.org/C16-2022
%P 103-106
Markdown (Informal)
[Interactive Relation Extraction in Main Memory Database Systems](https://aclanthology.org/C16-2022) (Schneider et al., COLING 2016)
ACL
- Rudolf Schneider, Cordula Guder, Torsten Kilias, Alexander Löser, Jens Graupmann, and Oleksandr Kozachuk. 2016. Interactive Relation Extraction in Main Memory Database Systems. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, pages 103–106, Osaka, Japan. The COLING 2016 Organizing Committee.