Document Ranking with a Pretrained Sequence-to-Sequence Model
Work
Year: 2020
Type: article
Abstract: This work proposes the use of a pretrained sequence-to-sequence model for document ranking. Our approach is fundamentally different from a commonly adopted classification-based formulation based on en... more
Cites: 47
Cited by: 281
Related to: 10
FWCI: 15.9
Citation percentile (by year/subfield): 99.99
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal No poverty
Open Access status: hybrid