期刊论文

Huang, Jimmy Xiangji

英文

IEEE ACCESS

2169-3536

2019

7

110235-110248

10.1109/ACCESS.2019.2927329

This work was supported in part by the Natural Sciences and Engineering Research Council (NSERC) of Canada, in part by the NSERC CREATE Award in Advanced Disaster, Emergency and Rapid Response Simulation(ADERSIM), in part by the York Research Chairs (YRC) program, in part by the Ontario Research Fund-Research Excellence (ORF-RE) award in BRAIN Alliance, and in part by the China Scholarship Council.

本校为第一机构

Recently, researchers mainly focus on three categories of models in the field of Information Retrieval (IR), namely vector-space models, probabilistic models, and statistical language models. The existing studies have always developed IR models through refining or combining these traditional models. However, some new frameworks (e.g., digital signal processing (DSP)-based IR framework) have not been well-developed. In our research, we propose a new DSP-based IR Framework (DSPF) introducing the theories from the field of the DSP and present two corresponding DSP-based IR models, denoted as DSPF...