Domain-Specific Relation Extraction - Using Distant Supervision Machine Learning

Abduladem Aljamel, Taha Osman, Giovanni Acampora

2015

Abstract

The increasing accessibility and availability of online data provides a valuable knowledge source for information analysis and decision-making processes. In this paper we argue that extracting information from this data is better guided by domain knowledge of the targeted use-case and investigate the integration of a knowledge-driven approach with Machine Learning techniques in order to improve the quality of the Relation Extraction process. Targeting the financial domain, we use Semantic Web Technologies to build the domain Knowledgebase, which is in turn exploited to collect distant supervision training data from semantic linked datasets such as DBPedia and Freebase. We conducted a serious of experiments that utilise the number of Machine Learning algorithms to report on the favourable implementations/configuration for successful Information Extraction for our targeted domain.

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Paper Citation


in Harvard Style

Aljamel A., Osman T. and Acampora G. (2015). Domain-Specific Relation Extraction - Using Distant Supervision Machine Learning . In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015) ISBN 978-989-758-158-8, pages 92-103. DOI: 10.5220/0005615100920103

in Bibtex Style

@conference{kdir15,
author={Abduladem Aljamel and Taha Osman and Giovanni Acampora},
title={Domain-Specific Relation Extraction - Using Distant Supervision Machine Learning},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015)},
year={2015},
pages={92-103},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005615100920103},
isbn={978-989-758-158-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015)
TI - Domain-Specific Relation Extraction - Using Distant Supervision Machine Learning
SN - 978-989-758-158-8
AU - Aljamel A.
AU - Osman T.
AU - Acampora G.
PY - 2015
SP - 92
EP - 103
DO - 10.5220/0005615100920103