The SJTU System for Dialog State Tracking Challenge 2
Kai Sun, Lu Chen, Su Zhu, Kai Yu · 2014
Dialog state tracking challenge provides a common testbed for state tracking al-gorithms. This paper describes the SJTU system submitted to the second Dialogue State Tracking Challenge in detail. In the system, a statistical semantic parser is used to generate refined semantic hypothe-ses. A large number of features are then derived based on the semantic hypothe-ses and the dialogue log information. The final tracker is a combination of a rule-based model, a maximum entropy and a deep neural network model. The SJTU system significantly outperformed all the baselines and showed competitive perfor-mance in DSTC 2. 1