Answering Complex Questions Using Open Information Extraction
Table 3: TupleInf is complementarity to IR, resulting in a strong ensemble
['Solvers', '4th Grade', '8th Grade']
The two solvers, in fact, differ on 47.3% of the training questions. To exploit this complementarity, we train an ensemble system Clark et al. which, as shown in the table, provides a substantial boost over the individual solvers. Further, IR + TupleInf is consistently better than IR + TableILP. Clark et al. , TupleInf achieves a score of 58.2% as compared to TableILP’s ensemble score of 56.7% on the 4th grade set, again attesting to TupleInf’s strength.