Information Retrieval and Text Mining for Biology
Geneva, 3-5 June 2015
In the life sciences, communication and dissemination of scientific information is still largely provided by texts, notably through research articles. The proposed activity aims to provide participants with a state of the art information retrieval (identify relevant documents in a collection) and text mining (identify and extract relevant information in a document ) applied to biology.
We will give an overview of successes and evolution since the 2000s (tasks have been automated with a level of greater than or equal performance to man), and current challenges, but also the most promising recent trends. Interactive demonstrations of existing tools, maintained and used by SIB or other groups will provide a practical aspect to the state of the art.
- understand the methods and the pipeline supporting most text mining services
- evaluate different text analytics tasks such with the appropriate metrics
- use some text mining services to support biocuration
Skill requirements: none
Material requirements: will be defined later if any
Application is now open. Please register from the CUSO/Staromics website
Deadline for registration and cancellation is set to the 29 May 2015.
Geneva, CMU, auditorium S1-S2
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