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- 11799511_7 type BookChapter assertion.
- author-list _1 0000-0002-1267-0234 assertion.
- author-list _2 loic-royer assertion.
- author-list _3 norbert-e-fuchs assertion.
- author-list _4 michael-schroeder assertion.
- 0000-0002-1267-0234 name "Tobias Kuhn" assertion.
- loic-royer name "Loic Royer" assertion.
- michael-schroeder name "Michael Schroeder" assertion.
- norbert-e-fuchs name "Norbert E. Fuchs" assertion.
- 0302-9743 title "Data Integration in the Life Sciences" assertion.
- 11799511_7 title "Improving Text Mining with Controlled Natural Language: A Case Study for Protein Interactions" assertion.
- 11799511_7 date "2006" assertion.
- 11799511_7 isPartOf 0302-9743 assertion.
- 11799511_7 abstract "Linking the biomedical literature to other data resources is notoriously difficult and requires text mining. Text mining aims to automatically extract facts from literature. Since authors write in natural language, text mining is a great natural language processing challenge, which is far from being solved. We propose an alternative: If authors and editors summarize the main facts in a controlled natural language, text mining will become easier and more powerful. To demonstrate this approach, we use the language Attempto Controlled English (ACE). We define a simple model to capture the main aspects of protein interactions. To evaluate our approach, we collected a dataset of 459 paragraph headings about protein interaction from literature. 56% of these headings can be represented exactly in ACE and another 23% partially. These results indicate that our approach is feasible." assertion.
- 11799511_7 authorList author-list assertion.