Learning to Answer Ambiguous Questions with knowledge graph
Table 3: The results of our approach compared to existing work. The numbers of other systems are derived from the evaluation script
['[BOLD] Method', '[BOLD] Rec.', '[BOLD] Prec.', '[BOLD] F1']
Experiments are performed to evaluate the proposed KSA-BiGRU model in our ambiguous question answering tasks, relative to other existing models and variations of KSA-BiGRU. Our KSA-BiGRU outperforms the state-of-the-art model[petrochuk2018simplequestions] and achieves 84.9 % F1.