ECNU at MC2 2018 Task 2: Mining Opinion Argumentation

This paper describes our participation in MC2 2018 task2: mining opinion argumentation. We build a tweet retrieval system, which is mainly composed by four parts: data preprocessing, retrieval, redundancy detection and reranking. Only the highly relevant and argumentive tweets are sent to the user based on the topics. In addition, three state-of-the-art information retrieval models as BB2 model, PL2 model and DFR model are utilized. The retrieval results are combined for final delivery.