Construction of a Simple Inference System of Textural Similarity (oka1 RITE2)

The motivation to join the RITE-2 task is to understand what kinds of linguistic and common knowledge are needed to recognize textual similarity in RITE-2 data. After a shallow manual analysis of RITE-2-bc example data, we found that morpheme similarity would be a major factor to recognize textual similarity. Thus we construct a threshold based inference system with Japanese WordNet as a base system that can be extended to more deep linguistic knowledge in further development. The preliminary experimental results show that the simple noun similarity based system outperformed the WordNet based system; but in the formal run, the WordNet based system gives the highest score in f-measure among the other simple system we constructed.