Semantic Structures for Scientific Writing

However, the scientific article has remained stubbornly resistant to renewal. Text mining and information extraction are methods specifically developed to find relevant information in unstructured texts and encode the information in a structured form, like a database record (Couto, 2003). In theory, text mining is the perfect solution to transforming factual knowledge from publications into database entries. However, automatically identifying concepts such as genes and proteins poses many problems, see e.g. Mons (2005) and Cohen (2005). Moreover, computational linguists have not yet developed tools that can analyse more than 30% of English sentences correctly and transform them into a structured formal representation. For this, the papers still need to be handled by a curator (Rebholz-Schuhmann, 2005).