INFERRING THE SCOPE OF SPECULATION USING DEPENDENCY ANALYSIS

Miguel Ballesteros, Virginia Francisco, Alberto Díaz, Jesús Herrera, Pablo Gervás

2011

Abstract

In the last few years speculation detection systems for biomedical texts have been developed successfully, most of them using machine–learning approaches. In this paper we present a system that finds the scope of speculation in English sentences, by means of dependency syntactic analysis. It infers which words are affected by speculation by browsing dependency syntactic structures. Thus, firstly an algorithm detects hedge cuesa. Secondly the scope of these hedge cues is computed. We tested the system with the Bioscope corpus, annotated with speculation and obtaining competitive results compared with the state of the art systems.

References

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Paper Citation


in Harvard Style

Ballesteros M., Francisco V., Díaz A., Herrera J. and Gervás P. (2011). INFERRING THE SCOPE OF SPECULATION USING DEPENDENCY ANALYSIS . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011) ISBN 978-989-8425-79-9, pages 248-253. DOI: 10.5220/0003661502560261


in Bibtex Style

@conference{kdir11,
author={Miguel Ballesteros and Virginia Francisco and Alberto Díaz and Jesús Herrera and Pablo Gervás},
title={INFERRING THE SCOPE OF SPECULATION USING DEPENDENCY ANALYSIS},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011)},
year={2011},
pages={248-253},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003661502560261},
isbn={978-989-8425-79-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011)
TI - INFERRING THE SCOPE OF SPECULATION USING DEPENDENCY ANALYSIS
SN - 978-989-8425-79-9
AU - Ballesteros M.
AU - Francisco V.
AU - Díaz A.
AU - Herrera J.
AU - Gervás P.
PY - 2011
SP - 248
EP - 253
DO - 10.5220/0003661502560261