Dissecting German Grammar and Swiss Passports: Open-Domain Decomposition of Compositional Entries in Large-Scale Knowledge Repositories
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 896-901.
Abstract
This paper presents a weakly supervised method that decomposes potentially compositional topics (Swiss passport) into zero or more constituent topics (Switzerland, Passport), where all topics are entries in a knowledge repository. The method increases the connectivity of the knowledge repository and, more importantly, identifies the constituent topics whose meaning can be later aggregated into the meaning of the compositional topics. By exploiting evidence within Wikipedia articles, the method acquires constituent topics of Freebase topics at precision and recall above 0.60, over multiple human-annotated evaluation sets.
@inproceedings{ijcai2015p131,
title = {Dissecting German Grammar and Swiss Passports: Open-Domain Decomposition of Compositional Entries in Large-Scale Knowledge Repositories},
author = {Pasca, Marius and Buisman, Hylke},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {896--901},
year = {2015},
month = {7},
note = {Main Track},
url = {https://ijcai.org/proceedings/2015/131},
}
TY - CPAPER TI - Dissecting German Grammar and Swiss Passports: Open-Domain Decomposition of Compositional Entries in Large-Scale Knowledge Repositories AU - Pasca, Marius AU - Buisman, Hylke T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 896 EP - 901 UR - https://ijcai.org/proceedings/2015/131 ER -Copied
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