2017/02/16 by Bhaskar Mitra, Fernando Díaz, Fernando Diaz +4
Computer Science · #Advanced Image and Video Retrieval Techniques #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Multimodal Machine Learning Applications #Topic Modeling #cs.IR
paper · pdf · doi:10.48550/arxiv.1702.05042
Under review for SIGIR'17
arxiv created 2017/02/16 · openalex publication_date 2017/02/16 · arxiv updated 2017/02/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In recent years, the information retrieval (IR) community has witnessed the first successful applications of deep neural network models to short-text matching and ad-hoc retrieval. It is exciting to see the research on deep neural networks and IR converge on these tasks of shared interest. However, the two communities have less in common when it comes to the choice of programming languages. Indri, an indexing framework popularly used by the IR community, is written in C++, while Torch, a popular machine learning library for deep learning, is written in the light-weight scripting language Lua. To bridge this gap, we introduce Luandri (pronounced "laundry"), a simple interface for exposing the search capabilities of Indri to Torch models implemented in Lua.