shinkeika / uncertainty

A Python implementation of the uncertainty classifier, based on the work of Veronika Vincze.

LUCI: Linguistic Uncertainty Classifier Interface

Pronounced: [ˈlusi]

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Description

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.

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Contact

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).

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Disclaimer

There has been no collaboration between Vincze et al. and the developers of this codebase.

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Footnotes

[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.