CBNU at TREC 2019 Incident Streams Track

This paper describes the participation of the CBNU team at the TREC Incident Streams Track 2019 [1]. Our approach is the same with CBNU at TREC-IS 2018 [2]. In our participation to TREC-IS Track 2018 and 2019, we focus on the conceptual representation for crisis-related terms. In order to classify a stream of tweets related to the incident, the terms in each tweet are represented as conceptual entities such as event entities, category indicator entities, information type entities, URL entities, and user entities. For tweet classification, we have compared support vector machines (SVM) and convolutional neural networks (CNNs).