We investigate response selection for multi-turn conversation in retrieval-based chatbots.
With the rapid development of intelligent vehicles and Advanced Driving Assistance Systems (ADAS), a mixed level of human driver engagements is involved in the transportation system.
Behavior prediction plays an essential role in both autonomous driving systems and Advanced Driver Assistance Systems (ADAS), since it enhances vehicle's awareness of the imminent hazards in the surrounding environment.
The best result, with a 0. 937 AUC score, was obtained with the proposed network.
In this work, we introduce TechKG, a large scale Chinese knowledge graph that is technology-oriented.
State-of-the-art methods usually concentrate on building deep neural networks based classification models on the training data in which the relations of the labeled entity pairs are given.