APA
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Niklaus, C., Bermeitinger, B., Handschuh, S., & Freitas, A. (2016). A Sentence Simplification System for Improving Relation Extraction. In Proceedings of {COLING} 2016, the 26th International Conference on Computational Linguistics: System Demonstrations (pp. 170–174). Osaka, Japan: The COLING 2016 Organizing Committee.
Chicago/Turabian
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Niklaus, Christina, Bernhard Bermeitinger, Siegfried Handschuh, and André Freitas. “A Sentence Simplification System for Improving Relation Extraction.” In Proceedings of {COLING} 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, 170–174. Osaka, Japan: The COLING 2016 Organizing Committee, 2016.
MLA
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Niklaus, Christina, et al. “A Sentence Simplification System for Improving Relation Extraction.” Proceedings of {COLING} 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, The COLING 2016 Organizing Committee, 2016, pp. 170–74.
BibTeX Click to copy
@inproceedings{niklaus2016a,
title = {A Sentence Simplification System for Improving Relation Extraction},
year = {2016},
month = dec,
address = {Osaka, Japan},
pages = {170--174},
publisher = {The COLING 2016 Organizing Committee},
author = {Niklaus, Christina and Bermeitinger, Bernhard and Handschuh, Siegfried and Freitas, André},
booktitle = {Proceedings of {COLING} 2016, the 26th International Conference on Computational Linguistics: System Demonstrations},
month_numeric = {12}
}
In this demo paper, 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.