By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Data detailed on Neuroscience have been presented. According to news reporting out of Vancouver, Canada, by VerticalNews editors, research stated, "Automated annotation of neuroanatomical connectivity statements from the neuroscience literature would enable accessible and large-scale connectivity resources. Unfortunately, the connectivity findings are not formally encoded and occur as natural language text."
Our news journalists obtained a quote from the research from the University of British Columbia, "This hinders aggregation, indexing, searching and integration of the reports. We annotated a set of 1377 abstracts for connectivity relations to facilitate automated extraction of connectivity relationships from neuroscience literature. We tested several baseline measures based on co-occurrence and lexical rules. We compare results from seven machine learning methods adapted from the protein interaction extraction domain that employ part-of-speech, dependency and syntax features. Co-occurrence based methods provided high recall with weak precision. The shallow linguistic kernel recalled 70.1% of the sentence-level connectivity statements at 50.3% precision. Owing to its speed and simplicity, we applied the shallow linguistic kernel to a large set of new abstracts. To evaluate the results, we compared 2688 extracted connections with the Brain Architecture Management System (an existing database of rat connectivity). The extracted connections were connected in the Brain Architecture Management System at a rate of 63.5%, compared with 51.1% for co-occurring brain region pairs. We found that precision increases with the recency and frequency of the extracted relationships. The source code, evaluations, documentation and other supplementary materials are available at http://www.chibi.ubc.ca/WhiteText. email@example.com."
According to the news editors, the research concluded: "Supplementary data are available at Bioinformatics Online."
For more information on this research see: Application and evaluation of automated methods to extract neuroanatomical connectivity statements from free text. Bioinformatics, 2012;28(22):2963-70. Bioinformatics can be contacted at: Oxford Univ Press, Great Clarendon St, Oxford OX2 6DP, England. (Oxford University Press - www.oup.com/; Bioinformatics - bioinformatics.oxfordjournals.org)
Our news journalists report that additional information may be obtained by contacting L. French, Dept. of Psychiatry, University of British Columbia, Vancouver, BC V6T 1Z4, Canada. Additional authors for this research include S. Lane, L. Xu, C. Siu, C. Kwok, Y. Chen, C. Krebs and P. Pavlidis.
Publisher contact information for the journal Bioinformatics is: Oxford Univ Press, Great Clarendon St, Oxford OX2 6DP, England.
Keywords for this news article include: Canada, Vancouver, Neuroscience, British Columbia, North and Central America.
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