Causal-TimeBank is the TimeBank corpus taken from TempEval-3 task, which is part of TempEval-3 English training data: TBAQ-cleaned, manually annotated with causal information. The annotation was performed using the CAT tool (Bartalesi Lenzi et al., 2012), a web-based application with a plugin to import annotated data in CAT-XML format and add new information on top of it, in this case causal information.
We provide a tool to convert text annotated with TimeML into CAT-XML format, and vice versa, written in Python.
Note that we only consider gold annotated EVENTs, TIMEX3s, SIGNALs and TLINKs from the TimeBank corpus (as SLINKs and ALINKs are considered irrelevant in this task), and we put new information about causality in the form of C-SIGNALs and CLINKs annotation. More information about the causality annotation can be found in one of the papers in the references section.
- Paramita Mirza, Rachele Sprugnoli, Sara Tonelli and Manuela Speranza. 2014. Annotating causality in the TempEval-3 corpus. In Proceedings of the EACL 2014 Workshop on Computational Approaches to Causality in Language (CAtoCL), pages 10–19, Gothenburg, Sweden, April. Association for Computational Linguistics. pdf bib
- Paramita Mirza and Sara Tonelli. 2014. An Analysis of Causality between Events and its Relation to Temporal Information. In Proceedings of the 25th International Conference on Computational Linguistics, Dublin, Ireland. pdf bib