THUIR at NTCIR-13 WWW Task
نویسندگان
چکیده
This paper describes our approaches and results in NTCIR13 WWW task. In English subtask, we adopt several advanced deep models, like DSSM and DRMM. In Chinese subtask, we additionally make a few changes in models to ensure them work well in the Chinese context and train the Duet model with the weak-supervised relevance labels generated by various click models. Meanwhile, we extract 3 types of features from corpus to train a learning to rank model.
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تاریخ انتشار 2017