In this paper, we briefly describe several experimental methods to solve MOAT at NTCIR-7. In the subtask of opinionated sentence detection, two methods aiming to extract the context information of each sentence are proposed. Maximum Entropy model is used to predict the polarity class. A rule-based pattern matching scheme is devised to find topic-relevant sentence. For the subtask of detecting holders and targets, the CRF model is adopted.