A Sentence Simplification System for Improving Relation Extraction

Christina Niklaus, Bernhard Bermeitinger, Siegfried Handschuh, André Freitas


Abstract
We present a text simplification approach that is directed at improving the performance of state-of-the-art Open Relation Extraction (RE) systems. As syntactically complex sentences often pose a challenge for current Open RE approaches, we have developed a simplification framework that performs a pre-processing step by taking a single sentence as input and using a set of syntactic-based transformation rules to create a textual input that is easier to process for subsequently applied Open RE systems.
Anthology ID:
C16-2036
Volume:
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations
Month:
December
Year:
2016
Address:
Osaka, Japan
Venue:
COLING
SIG:
Publisher:
The COLING 2016 Organizing Committee
Note:
Pages:
170–174
Language:
URL:
https://www.aclweb.org/anthology/C16-2036
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/C16-2036.pdf