John F. Pitrelli, Burn L. Lewis, et al.
INTERSPEECH 2008
Search algorithms in most current text retrieval systems use index data structures extracted from the original text documents. In this paper we focus on reducing the size of the indices by reducing the amount of space dedicated to store term frequencies. In experiments using TREC Ad Hoc [2, 3] corpora and query sets, we show that it is possible to store the term frequency in only two bits without decreasing retrieval performance.
John F. Pitrelli, Burn L. Lewis, et al.
INTERSPEECH 2008
Martin Franz, J. Scott McCarley, et al.
INTERSPEECH - Eurospeech 2001
Martin Franz, J. Scott McCarley, et al.
INTERSPEECH - Eurospeech 2001
Jon Saad-Falcon, Omar Khattab, et al.
EMNLP 2023