Integrating Syntactic and Semantic Analysis into the Open Information Extraction Paradigm
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 2148-2153.
Abstract
In this paper we present an approach aimed at enriching the Open Information Extraction paradigm with semantic relation ontologization by integrating syntactic and semantic features into its workflow. To achieve this goal, we combine deep syntactic analysis and distributional semantics using a shortest path kernel method and soft clustering. The output of our system is a set of automatically discovered and ontologized semantic relations.
Andrea Moro, and Roberto Navigli. 2013. Integrating Syntactic and Semantic Analysis into the Open Information Extraction Paradigm. In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13. IJCAI, 2148–2153. https://ijcai.org/proceedings/2013/317
Moro, A., & Navigli, R. (2013). Integrating Syntactic and Semantic Analysis into the Open Information Extraction Paradigm. In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 (pp. 2148–2153). IJCAI. https://ijcai.org/proceedings/2013/317
@inproceedings{ijcai2013p317,
title = {Integrating Syntactic and Semantic Analysis into the Open Information Extraction Paradigm},
author = {Moro, Andrea and Navigli, Roberto},
booktitle = {Proceedings of the Twenty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-13}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Francesca Rossi},
pages = {2148--2153},
year = {2013},
month = {8},
url = {https://ijcai.org/proceedings/2013/317},
}
TY - CPAPER TI - Integrating Syntactic and Semantic Analysis into the Open Information Extraction Paradigm AU - Moro, Andrea AU - Navigli, Roberto T2 - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2013 SP - 2148 EP - 2153 UR - https://ijcai.org/proceedings/2013/317 ER -Copied
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