Code for the paper: Embedding-based query expansion for weighted sequential dependence retrieval model

Main Dependencies

You may call queryWeightsOptimizer to learn the weights of the proposed method. This code uses a cross-validation approach to obtain the results.

./queries/queryWeightsOptimizer.py

Name	Name	Last commit message	Last commit date
Latest commit balaneshin Update README.md Aug 2, 2017 d4639fa · Aug 2, 2017 History 130 Commits
collection	collection	added header	Jun 8, 2017
configs	configs	parameters updated	Aug 2, 2017
features	features	Changed the way n-grams are passed between different classes	Jun 11, 2017
index	index	added header	Jun 8, 2017
parameters	parameters	added header	Jun 8, 2017
plots	plots	refactor project to have a package for unigrams	Jun 8, 2017
qrels	qrels	added header	Jun 8, 2017
queries	queries	added opt results	Jun 13, 2017
res_opt	res_opt	added opt results	Jun 13, 2017
runs	runs	changed query expansion process from top-docs	Jun 7, 2017
sdm	sdm	fixed minor issues	Jun 11, 2017
unigrams	unigrams	Changed the way n-grams are passed between different classes	Jun 11, 2017
.gitignore	.gitignore	gitignore modified	Aug 2, 2017
README.md	README.md	Update README.md	Aug 2, 2017
paper.pdf	paper.pdf	pdf renaming	Aug 2, 2017
requirements.txt	requirements.txt	fixed issues in top-docs class	Jun 7, 2017