Pronounced: [ˈlusi]
A Python implementation of a classifier for linguistic uncertainty, based on the work described in Vincze et al.[1]:
Vincze, V. (2015). Uncertainty detection in natural language texts (Doctoral dissertation, szte).
Consult the Wiki for further details.
If you have questions regarding this API, please contact [email protected] (Benjamin Meyers) or [email protected] (Nuthan Munaiah).
For questions regarding the annotated dataset or the theory behind the uncertainty classifier, please contact [email protected] (György Szarvas), [email protected] (Richárd Farkas), and/or [email protected] (Veronika Vincze).
There has been no collaboration between Vincze et al. and the developers of this codebase.
[A] This feature is present in the reverse-engineered dataset, but is not described within Vincze et al.[1]
[1] Vincze, V. (2015). Uncertainty detection in natural language texts (Doctoral dissertation, szte).
[2] Vincze, V., Szarvas, G., Farkas, R., Móra, G., & Csirik, J. (2008). The BioScope corpus: biomedical texts annotated for uncertainty, negation and their scopes. BMC bioinformatics, 9(11), S9.
[3] Saurí, R., & Pustejovsky, J. (2009). FactBank: a corpus annotated with event factuality. Language resources and evaluation, 43(3), 227.
[4] Farkas, R., Vincze, V., Móra, G., Csirik, J., & Szarvas, G. (2010, July). The CoNLL-2010 shared task: learning to detect hedges and their scope in natural language text. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning---Shared Task (pp. 1-12). Association for Computational Linguistics.