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A critical review of PASBio's argument structures for biomedical verbs

K Bretonnel Cohen, Lawrence Hunter
2006 BMC Bioinformatics  
Recently, the PASBio project proposed a set of propositions and argument structures for biomedical verbs.  ...  Conclusion: PASBio demonstrates the suitability of predicate-argument structures for representing aspects of the semantics of biomedical verbs.  ...  The arity, role choice, θ-criterion violation and argument distribution evaluations are informative with respect to how "good" PASBio's argument structures are for semantic representation in biomedicine  ... 
doi:10.1186/1471-2105-7-s3-s5 pmid:17134478 pmcid:PMC1764449 fatcat:karftpmu5fhwlnmwvnobooc2em

Proceedings of the Second International Symposium for Semantic Mining in Biomedicine

Sophia Ananiadou, Juliane Fluck
2006 BMC Bioinformatics  
The full contents of the supplement are available online at http://www.biomedcentral.com/1471-2105/7?issue=S3.  ...  Acknowledgements This article has been published as part of BMC Bioinformatics Volume 7, Supplement 3, 2006: Second International Symposium on Semantic Mining in Biomedicine.  ...  A critical review of PASBio's argument structures for biomedical verbs by K.  ... 
doi:10.1186/1471-2105-7-s3-s1 fatcat:h26jwoukezbvtgt73qlrfhyapy

A Survey of State of the Art Biomedical Text Mining Techniques for Semantic Analysis

Hong-Jie Dai, Chi-Hsin Huang, Jaimie Yi-Wen Lin, Pei-Hsuan Chou, Richard Tzong-Han Tsai, Wen-Lian Hsu
2008 2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (sutc 2008)  
In recent years, a range of text-mining applications have been developed to improve access to knowledge for biologists and database curators.  ...  In 2004, the PASBio [49] project released a set of PASs for a small set of biometrically relevant verbs.  ...  The project involved annotating the arguments of 30 frequent biomedical verbs. In contrast to PASBio, BioProp does not place any biomedical constraints on [45] .  ... 
doi:10.1109/sutc.2008.86 dblp:conf/sutc/DaiHLCTH08 fatcat:rro4q63izfesvo7q3mfzhxelwu