Ulysses-RFSQ: A Novel Method to Improve Legal Information Retrieval Based on Relevance Feedback.
Douglas VitórioEllen SouzaLucas MartinsNádia Félix F. da SilvaAndré Carlos Ponce de Leon Ferreira de CarvalhoAdriano L. I. OliveiraPublished in: BRACIS (1) (2022)
Keyphrases
- legal information retrieval
- relevance feedback
- significant improvement
- high accuracy
- detection method
- support vector machine
- high precision
- clustering method
- dynamic programming
- information retrieval
- segmentation method
- information retrieval systems
- feedback information
- feature weighting
- support vector machine svm
- unsupervised learning
- markov random field
- image database
- classification accuracy
- objective function