Search Results for author:
Found 7 papers, 4 papers with code
Improved Learned Sparse Retrieval with Corpus-Specific Vocabularies
We explore leveraging corpus-specific vocabularies that improve both efficiency and effectiveness of learned sparse retrieval systems.
A Sensitivity Analysis of the MSMARCO Passage Collection
The recent MSMARCO passage retrieval collection has allowed researchers to develop highly tuned retrieval systems.
Anytime Ranking on Document-Ordered Indexes
Inverted indexes continue to be a mainstay of text search engines, allowing efficient querying of large document collections.
Succinct Data Structures for NLP-at-Scale
Succinct data structures involve the use of novel data structures, compression technologies, and other mechanisms to allow data to be stored in extremely small memory or disk footprints, while still allowing for efficient access to the underlying data.
Fast, Small and Exact: Infinite-order Language Modelling with Compressed Suffix Trees
Efficient methods for storing and querying are critical for scaling high-order n-gram language models to large corpora.
From Theory to Practice: Plug and Play with Succinct Data Structures
Engineering efficient implementations of compact and succinct structures is a time-consuming and challenging task, since there is no standard library of easy-to- use, highly optimized, and composable components.
Data Structures and Algorithms
