Interactive Relation Extraction in Main Memory Database Systems
Rudolf Schneider, Cordula Guder, Torsten Kilias, Alexander Löser, Jens Graupmann, Oleksandr Kozachuk
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.- Anthology ID:
- C16-2022
- Volume:
- Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations
- Month:
- December
- Year:
- 2016
- Address:
- Osaka, Japan
- Editor:
- Hideo Watanabe
- Venue:
- COLING
- SIG:
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 103–106
- Language:
- URL:
- https://aclanthology.org/C16-2022
- DOI:
- Cite (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.
- Cite (Informal):
- Interactive Relation Extraction in Main Memory Database Systems (Schneider et al., COLING 2016)
- PDF:
- https://preview.aclanthology.org/bionlp-24-ingestion/C16-2022.pdf