Addressing Community Question Answering in English and Arabic
Table 5: Ranking-based features combined with linear and RBF kernels on the Question–Question similarity dataset. † shows statistically significant results (at 95%) with respect to GR.
['Model', 'DEV MAP', 'DEV AvgRec', 'DEV MRR', 'TEST MAP', 'TEST AvgRec', 'TEST MRR']
We tested the performance of each of the feature sets in isolation and pair-wise. The baseline is computed on GR, which produces a strong value as it is a product of the Google technology and its associated knowledge bases. We have two advantages, though: (i ) Google is not tuned up on the specific forum data we use and (ii) probably Google does not use syntactic structures in algorithms such as TKs.