Process Extraction from Texts using Semantic Unification

Konstantin Sokolov, Dimitri Timofeev, Alexander Samochadin

2015

Abstract

In order to extract a process model from natural language sources, process elements such as agents, resources or actions have to be identified across one or multiple texts. Natural language descriptions tend to provide only partial and potentially contradictory information. Inability to systematically reconcile partial information significantly limits capabilities of current systems. We propose to address this problem by means of semantic unification integrated in the common text processing pipeline.

Paper Citation

in Harvard Style

Sokolov K., Timofeev D. and Samochadin A. (2015). Process Extraction from Texts using Semantic Unification . In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, (IC3K 2015) ISBN 978-989-758-158-8, pages 254-259. DOI: 10.5220/0005638302540259

in Bibtex Style

@conference{kmis15,
author={Konstantin Sokolov and Dimitri Timofeev and Alexander Samochadin},
title={Process Extraction from Texts using Semantic Unification},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, (IC3K 2015)},
year={2015},
pages={254-259},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005638302540259},
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 3: KMIS, (IC3K 2015)
TI - Process Extraction from Texts using Semantic Unification
SN - 978-989-758-158-8
AU - Sokolov K.
AU - Timofeev D.
AU - Samochadin A.
PY - 2015
SP - 254
EP - 259
DO - 10.5220/0005638302540259