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%0 Conference Proceedings
%T Determining causal and non-causal relationships in biomedical text by classifying verbs using a Naive Bayesian Classifier
%A van der Horn, Pieter
%A Bakker, Bart
%A Geleijnse, Gijs
%A Korst, Jan
%A Kurkin, Sergei
%Y Demner-Fushman, Dina
%Y Ananiadou, Sophia
%Y Cohen, Kevin Bretonnel
%Y Pestian, John
%Y Tsujii, Jun’ichi
%Y Webber, Bonnie
%S Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
%D 2008
%8 June
%I Association for Computational Linguistics
%C Columbus, Ohio
%F van-der-horn-etal-2008-determining
%U https://aclanthology.org/W08-0624
%P 112-113

Markdown (Informal)

[Determining causal and non-causal relationships in biomedical text by classifying verbs using a Naive Bayesian Classifier](https://aclanthology.org/W08-0624) (van der Horn et al., BioNLP 2008)

• Determining causal and non-causal relationships in biomedical text by classifying verbs using a Naive Bayesian Classifier (van der Horn et al., BioNLP 2008)

ACL

• Pieter van der Horn, Bart Bakker, Gijs Geleijnse, Jan Korst, and Sergei Kurkin. 2008. Determining causal and non-causal relationships in biomedical text by classifying verbs using a Naive Bayesian Classifier. In Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing, pages 112–113, Columbus, Ohio. Association for Computational Linguistics.