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Causal markers across domains and genres of discourse

Published: 26 June 2011 Publication History

Abstract

This paper is a study of causation as it occurs in different domains and genres of discourse. There have been various initiatives to extract causality from discourse using causal markers. However, to our knowledge, none of these approaches have displayed similar results when applied to other styles of discourse. In this study we evaluate the nature of causal markers - specifically causatives, between corpora in different domains and genres of discourse and measure the overlap of causal markers using two metrics - Term Similarity and Causal Precision. We find that causal markers, specially causatives (causal verbs) are extremely domain dependent, and moderately genre dependent.

References

[1]
R. Girju and D. Moldovan. Mining Answers for Causation. Proceedings of American Association of Artificial Intelligence, pages 15--25, 2002.
[2]
A. S. Gordon and R. Swanson. Identifying Personal Stories in Millions of Weblog Entries Weblog Stories as Data. Third International Conference on Weblogs and Social Media, Data Challenge Workshop, 2009.
[3]
C. S. G. Khoo, S. Chan, and Y. Niu. Extracting causal knowledge from a medical database using graphical patterns. Proceedings of the 38th Annual Meeting on Association for Computational Linguistics - ACL '00, pages 336--343, 2000.
[4]
R. Mulkar, J. R. Hobbs, and E. Hovy. Learning from Reading Syntactically Complex Biology Texts. Proceedings of the 8th International Symposium on Logical Formalizations of Commonsense Reasoning. Palo Alto, 2007.
[5]
R. Mulkar-Mehta, J. R. Hobbs, C.-C. Liu, and X. J. Zhou. Discovering Causal and Temporal Relations in Biomedical Texts Recognizing Causal and Temporal Relations :. Proceedings of the AAAI Spring Symposium, Stanford CA, 2009.
[6]
R. Mulkar-Mehta, C. Welty, J. R. Hobbs, and E. Hovy. Using Part-Of Relations for Discovering Causality. Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference (FLAIRS-24), 2011.
[7]
J. M. Prager, J. Chu-Carroll, and K. Czuba. A Multi- Strategy, Multi-Question Approach to Question Answering. In New Directions in Question-Answering, ed. M. Maybury. Menlo Park, CA: AAAI Press., 2004.
[8]
B. Rink, C. A. Bejan, and S. Harabagiu. Learning Textual Graph Patterns to Detect Causal Event Relations. Proceedings of the 23rd Florida Artificial Intelligence Research Society International Conference (FLAIRS'10), 2010.
[9]
F. Wolf, E. Gibson, A. Fisher, and M. Knight. A procedure for collecting a database of texts annotated with coherence relations. pages 1--23, 2003.

Cited By

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  • (2022)A survey of the extraction and applications of causal relationsNatural Language Engineering10.1017/S135132492100036X28:3(361-400)Online publication date: 20-Jan-2022
  • (2020)Context-Based Interpretation of Subordinating Conjunctions in CommunicationLanguages10.3390/languages50400625:4(62)Online publication date: 16-Nov-2020
  • (2012)Granular Causality ApplicationsInternational Journal of Cognitive Informatics and Natural Intelligence10.4018/jcini.20120701056:3(88-108)Online publication date: 1-Jul-2012

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  1. Causal markers across domains and genres of discourse

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    cover image ACM Conferences
    K-CAP '11: Proceedings of the sixth international conference on Knowledge capture
    June 2011
    212 pages
    ISBN:9781450303965
    DOI:10.1145/1999676

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 26 June 2011

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    Author Tags

    1. causality
    2. domains and genres of discourse

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    K-CAP '2011
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    K-CAP '2011: Knowledge Capture Conference
    June 26 - 29, 2011
    Alberta, Banff, Canada

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    Overall Acceptance Rate 55 of 198 submissions, 28%

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    View all
    • (2022)A survey of the extraction and applications of causal relationsNatural Language Engineering10.1017/S135132492100036X28:3(361-400)Online publication date: 20-Jan-2022
    • (2020)Context-Based Interpretation of Subordinating Conjunctions in CommunicationLanguages10.3390/languages50400625:4(62)Online publication date: 16-Nov-2020
    • (2012)Granular Causality ApplicationsInternational Journal of Cognitive Informatics and Natural Intelligence10.4018/jcini.20120701056:3(88-108)Online publication date: 1-Jul-2012

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