Training Curricula for Open Domain Answer Re-Ranking
In precision-oriented tasks like answer ranking, it is more important to rank many relevant answers highly than to retrieve all …
Expansion via Prediction of Importance with Contextualization
The identification of relevance with little textual context is a primary challenge in passage retrieval. We address this problem with a …
Efficient Document Re-Ranking for Transformers by Precomputing Term Representations
Deep pretrained transformer networks are effective at various ranking tasks, such as question answering and ad-hoc document ranking. …
Cache Optimization via Topics in Web Search Engines
International Application Number PCT/US19/31723, US Application Number 16/408,766, filed by Georgetown University on 10/ May 2019, assigned to Georgetown University on 10 December 2019.
Cache Optimization via Topics in Web Search Engines
US Application Number 16/654,725, filed by Georgetown University on 16 Oct 2019.
A method to rank documents by a computer, using additive ensembles of regression trees and cache optimisation, and search engines using such a method
International Application Number PCT29914, filed by Tiscali S.p.A. on 17 June 2015.