  In the task of factoid question answering over knowledge base, many questions
have more than one plausible interpretation. Previous works on SimpleQuestions
assume only one interpretation as the ground truth for each question, so they
lack the ability to answer ambiguous questions correctly. In this paper, we
present a new way to utilize the dataset that takes into account the existence
of ambiguous questions. Then we introduce a simple and effective model which
combines local knowledge subgraph with attention mechanism. Our experimental
results show that our approach achieves outstanding performance in this task.
