PMC:7799291 / 58709-59822 JSONTXT

{"target":"http://pubannotation.org/docs/sourcedb/PMC/sourceid/7799291","sourcedb":"PMC","sourceid":"7799291","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7799291","text":"Conclusion\nMethods for text mining have matured significantly over the past few decades. With COVID-19, we have an opportunity to test these methods in the sort of time- and resource-constrained setting where automation or computational assistance may be most helpful. Preliminary results are promising. Since early March, several dozen production systems tailored to various aspects of search and retrieval have been released, two shared tasks have completed with more in progress and biomedical experts have been engaged to assess and evaluate many of the systems and tools that have been publicly deployed. Aiming to help researchers manage information overload, some systems use text mining techniques to assist with conducting rapid reviews on the COVID-19 literature. As we move forward, we encourage the community to make further developments in this area. We also remind the community to keep track of practical user needs as we develop text mining systems; though much progress has been made, significant improvements are needed to provide meaningful and actionable results in the fight against COVID-19.","divisions":[{"label":"title","span":{"begin":0,"end":10}}],"tracks":[]}