Article published In: Terminology
Vol. 7:2 (2001) ► pp.135–154
Investigating the causal relation in informative texts
Published online: 22 April 2002
https://doi.org/10.1075/term.7.2.02bar
https://doi.org/10.1075/term.7.2.02bar
Our work investigates the causal relation as it is expressed in informative texts. We view causal relations as important because of the dynamic dimension they bring to a domain model. Thorough study of a corpus leads us to distinguish two prominent classes of indicators of the causal relation: conjunctional phrases, and verbs. This paper identifies multiple knowledge-rich patterns within each class and studies their usage, frequency and noise. Results from this manual investigation informs a discussion on the feasibility of automatic extraction of the different forms of expression of the causal relation.
Cited by (8)
Cited by eight other publications
Cromley, Jennifer G., Shufeng Ma, Martin Van Boekel & Aygul Parpucu Dane
Sánchez Cárdenas, Beatriz & Carlos Ramisch
2019. Eliciting specialized frames from corpora using argument-structure extraction techniques. Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication 25:1 ► pp. 1 ff.
Sambre, Paul & Cornelia Wermuth
2015. Associative relations and instrumentality in causality. In Handbook of Terminology [Handbook of Terminology, 1], ► pp. 101 ff.
Marshman, Elizabeth
2014. Enriching terminology resources with knowledge-rich contexts. Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication 20:2 ► pp. 225 ff.
Marshman, Elizabeth, Marie-Claude L'Homme & Victoria Surtees
Barrière, Caroline
[no author supplied]
[no author supplied]
This list is based on CrossRef data as of 6 december 2025. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.