use of io.anserini.rerank.lib.Rm3Reranker in project Anserini by castorini.
the class SearchCollection method constructRerankers.
private List<RerankerCascade> constructRerankers() throws IOException {
List<RerankerCascade> cascades = new ArrayList<>();
if (args.rm3) {
for (String fbTerms : args.rm3_fbTerms) {
for (String fbDocs : args.rm3_fbDocs) {
for (String originalQueryWeight : args.rm3_originalQueryWeight) {
String tag;
if (this.args.rf_qrels != null) {
tag = String.format("rm3Rf(fbTerms=%s,originalQueryWeight=%s)", fbTerms, originalQueryWeight);
} else {
tag = String.format("rm3(fbTerms=%s,fbDocs=%s,originalQueryWeight=%s)", fbTerms, fbDocs, originalQueryWeight);
}
RerankerCascade cascade = new RerankerCascade(tag);
cascade.add(new Rm3Reranker(analyzer, IndexArgs.CONTENTS, Integer.valueOf(fbTerms), Integer.valueOf(fbDocs), Float.valueOf(originalQueryWeight), args.rm3_outputQuery, !args.rm3_noTermFilter));
cascade.add(new ScoreTiesAdjusterReranker());
cascades.add(cascade);
}
}
}
} else if (args.axiom) {
for (String r : args.axiom_r) {
for (String n : args.axiom_n) {
for (String beta : args.axiom_beta) {
for (String top : args.axiom_top) {
for (String seed : args.axiom_seed) {
String tag;
if (this.args.rf_qrels != null) {
tag = String.format("axRf(seed=%s,n=%s,beta=%s,top=%s)", seed, n, beta, top);
} else {
tag = String.format("ax(seed=%s,r=%s,n=%s,beta=%s,top=%s)", seed, r, n, beta, top);
}
RerankerCascade cascade = new RerankerCascade(tag);
cascade.add(new AxiomReranker(args.index, args.axiom_index, IndexArgs.CONTENTS, args.axiom_deterministic, Integer.valueOf(seed), Integer.valueOf(r), Integer.valueOf(n), Float.valueOf(beta), Integer.valueOf(top), args.axiom_docids, args.axiom_outputQuery, args.searchtweets));
cascade.add(new ScoreTiesAdjusterReranker());
cascades.add(cascade);
}
}
}
}
}
} else if (args.bm25prf) {
for (String fbTerms : args.bm25prf_fbTerms) {
for (String fbDocs : args.bm25prf_fbDocs) {
for (String k1 : args.bm25prf_k1) {
for (String b : args.bm25prf_b) {
for (String newTermWeight : args.bm25prf_newTermWeight) {
String tag;
if (this.args.rf_qrels != null) {
tag = String.format("bm25Rf(fbTerms=%s,k1=%s,b=%s,newTermWeight=%s)", fbTerms, k1, b, newTermWeight);
} else {
tag = String.format("bm25prf(fbTerms=%s,fbDocs=%s,k1=%s,b=%s,newTermWeight=%s)", fbTerms, fbDocs, k1, b, newTermWeight);
}
RerankerCascade cascade = new RerankerCascade(tag);
cascade.add(new BM25PrfReranker(analyzer, IndexArgs.CONTENTS, Integer.valueOf(fbTerms), Integer.valueOf(fbDocs), Float.valueOf(k1), Float.valueOf(b), Float.valueOf(newTermWeight), args.bm25prf_outputQuery));
cascade.add(new ScoreTiesAdjusterReranker());
cascades.add(cascade);
}
}
}
}
}
} else {
RerankerCascade cascade = new RerankerCascade();
cascade.add(new ScoreTiesAdjusterReranker());
cascades.add(cascade);
}
return cascades;
}
use of io.anserini.rerank.lib.Rm3Reranker in project Anserini by castorini.
the class SimpleSearcher method setRM3.
/**
* Enables RM3 query expansion with default parameters.
*
* @param fbTerms number of expansion terms
* @param fbDocs number of expansion documents
* @param originalQueryWeight weight to assign to the original query
* @param outputQuery flag to print original and expanded queries
* @param filterTerms whether to filter terms to be English only
*/
public void setRM3(int fbTerms, int fbDocs, float originalQueryWeight, boolean outputQuery, boolean filterTerms) {
useRM3 = true;
cascade = new RerankerCascade("rm3");
cascade.add(new Rm3Reranker(this.analyzer, IndexArgs.CONTENTS, fbTerms, fbDocs, originalQueryWeight, outputQuery, filterTerms));
cascade.add(new ScoreTiesAdjusterReranker());
}
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