Mining Arguments from Cancer Documents Using Natural Language Processing and Ontologies
TABLE II: Identifying claim of arguments (left) and premises (right).
['[ITALIC] #', '[ITALIC] Recall', '[ITALIC] Precision', '[ITALIC] F']
The quantitative evaluation is based on the measure of the Precision, Recall and F-Measure metrics. The system was evaluated on a manually annotated corpus containing six documents with different breast cancer articles. The results obtained by the system are influenced by the performance of the correct identification of different parts of speech. Arguments are identified by the application according to lists of words and part of speech obtained by the MiniPar Parser included in GATE. If the annotations are not correctly identified this will limit the performance of the system.