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Make it possible to use Jelinek-Mercer QL scoring model #465

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Make it possible to use Jelinek-Mercer QL scoring model #465

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4a4d3cd
added qlmj (LMJerelinkerMercerSimilarity) scoring model
tteofili Nov 2, 2018
c9bd276
added qlmj (LMJerelinkerMercerSimilarity) scoring model
tteofili Nov 2, 2018
b50c870
added qlmj (LMJerelinkerMercerSimilarity) scoring model
tteofili Nov 2, 2018
c64d03b
updated qljm parameters naming, added qld param as equivalent to ql
tteofili Nov 28, 2018
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2 changes: 1 addition & 1 deletion src/main/java/io/anserini/ltr/DumpTweetsLtrData.java
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Original file line number Diff line number Diff line change
Expand Up @@ -92,7 +92,7 @@ public static<K> void main(String[] argv) throws Exception {
IndexReader reader = DirectoryReader.open(dir);
IndexSearcher searcher = new IndexSearcher(reader);

if (args.ql) {
if (args.ql || args.qld) {
LOG.info("Using QL scoring model");
searcher.setSimilarity(new LMDirichletSimilarity(args.mu));
} else if (args.bm25) {
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10 changes: 10 additions & 0 deletions src/main/java/io/anserini/search/SearchArgs.java
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Expand Up @@ -80,6 +80,9 @@ public class SearchArgs {
@Option(name = "-ql", usage = "use query likelihood scoring model")
public boolean ql = false;

@Option(name = "-qld", usage = "use Dirichlet query likelihood scoring model")
public boolean qld = false;

@Option(name = "-mu", metaVar = "[value]", usage = "Dirichlet smoothing parameter")
public float mu = 1000.0f;
/*
Expand Down Expand Up @@ -186,4 +189,11 @@ public class SearchArgs {

@Option(name = "-model", metaVar = "[file]", required = false, usage = "ranklib model file")
public String model = "";

@Option(name = "-qljm", usage = "use Jelinek-Mercer query likelihood scoring model")
public boolean qljm = false;

@Option(name = "-qljm.lambda", metaVar = "[value]", usage = "Jelinek Mercer smoothing parameter")
public float qljm_lambda = 0.1f;

}
5 changes: 4 additions & 1 deletion src/main/java/io/anserini/search/SearchCollection.java
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Expand Up @@ -104,7 +104,7 @@ public SearchCollection(SearchArgs args) throws IOException {
this.reader = DirectoryReader.open(FSDirectory.open(indexPath));

// Figure out which scoring model to use.
if (args.ql) {
if (args.ql || args.qld) {
LOG.info("Using QL scoring model");
this.similarity = new LMDirichletSimilarity(args.mu);
} else if (args.bm25) {
Expand All @@ -122,6 +122,9 @@ public SearchCollection(SearchArgs args) throws IOException {
} else if (args.f2log) {
LOG.info("Using F2Log scoring model");
this.similarity = new F2LogSimilarity(args.f2log_s);
} else if (args.qljm) {
LOG.info("Using Jelinek-Mercer QL scoring model");
this.similarity = new LMJelinekMercerSimilarity(args.qljm_lambda);
} else {
throw new IllegalArgumentException("Error: Must specify scoring model!");
}
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