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Authors: Rodolfo Delmonte ; Gabriel Nicolae ; Sanda Harabagiu and Cristina Nicolae

Affiliation: Human Language Technology Research Institute, The University of Texas at Dallas, United States

ISBN: 978-972-8865-97-9

Abstract: We present an unsupervised linguistically-based approach to discourse relations recognition, which uses publicly available resources like manually annotated corpora (Discourse Graphbank, Penn Discourse Treebank, RST-DT), as well as empirically derived data from “causally” annotated lexica like LCS, to produce a rule-based algorithm. In our approach we use the subdivision of Discourse Relations into four subsets – CONTRAST, CAUSE, CONDITION, ELABORATION, proposed by [7] in their paper, where they report results obtained with a machine-learning approach from a similar experiment, against which we compare our results. Our approach is fully symbolic and is partially derived from the system called GETARUNS, for text understanding, adapted to a specific task: recognition of Causality Relations in free text. We show that in order to achieve better accuracy, both in the general task and in the specific one, semantic information needs to be used besides syntactic structural information. Our ap proach outperforms results reported in previous papers [9]. (More)

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Paper citation in several formats:
Delmonte R.; Nicolae G.; Harabagiu S.; Nicolae C. and (2007). A Linguistically-based Approach to Discourse Relations Recognition.In Proceedings of the 4th International Workshop on Natural Language Processing and Cognitive Science - Volume 1: NLPCS, (ICEIS 2007) ISBN 978-972-8865-97-9, pages 81-91. DOI: 10.5220/0002421300810091

@conference{nlpcs07,
author={Rodolfo Delmonte and Gabriel Nicolae and Sanda Harabagiu and Cristina Nicolae},
title={A Linguistically-based Approach to Discourse Relations Recognition},
booktitle={Proceedings of the 4th International Workshop on Natural Language Processing and Cognitive Science - Volume 1: NLPCS, (ICEIS 2007)},
year={2007},
pages={81-91},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002421300810091},
isbn={978-972-8865-97-9},
}

TY - CONF

JO - Proceedings of the 4th International Workshop on Natural Language Processing and Cognitive Science - Volume 1: NLPCS, (ICEIS 2007)
TI - A Linguistically-based Approach to Discourse Relations Recognition
SN - 978-972-8865-97-9
AU - Delmonte, R.
AU - Nicolae, G.
AU - Harabagiu, S.
AU - Nicolae, C.
PY - 2007
SP - 81
EP - 91
DO - 10.5220/0002421300810091

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