APA
Click to copy
Cetto, M., Niklaus, C., Freitas, A., & Handschuh, S. (2018). Graphene: a Context-Preserving Open Information Extraction System. In Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations (pp. 94–98). Santa Fe, New Mexico: Association for Computational Linguistics.
Chicago/Turabian
Click to copy
Cetto, Matthias, Christina Niklaus, André Freitas, and Siegfried Handschuh. “Graphene: a Context-Preserving Open Information Extraction System.” In Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations, 94–98. Santa Fe, New Mexico: Association for Computational Linguistics, 2018.
MLA
Click to copy
Cetto, Matthias, et al. “Graphene: a Context-Preserving Open Information Extraction System.” Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations, Association for Computational Linguistics, 2018, pp. 94–98.
BibTeX Click to copy
@inproceedings{cetto2018a,
title = {Graphene: a Context-Preserving Open Information Extraction System},
year = {2018},
month = aug,
address = {Santa Fe, New Mexico},
pages = {94--98},
publisher = {Association for Computational Linguistics},
author = {Cetto, Matthias and Niklaus, Christina and Freitas, André and Handschuh, Siegfried},
booktitle = {Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations},
month_numeric = {8}
}
We introduce Graphene, an Open IE system whose goal is to generate accurate, meaningful and complete propositions that may facilitate a variety of downstream semantic applications. For this purpose, we transform syntactically complex input sentences into clean, compact structures in the form of core facts and accompanying contexts, while identifying the rhetorical relations that hold between them in order to maintain their semantic relationship. In that way, we preserve the context of the relational tuples extracted from a source sentence, generating a novel lightweight semantic representation for Open IE that enhances the expressiveness of the extracted propositions.
