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Anserini: Regressions for MS MARCO (Passage Expansion)

This page documents regression experiments for the MS MARCO Passage Ranking Task with Doc2query expansions, as proposed in the following paper:

These experiments are integrated into Anserini's regression testing framework. For more complete instructions on how to run end-to-end experiments, refer to this page.

Indexing

Typical indexing command:

nohup sh target/appassembler/bin/IndexCollection -collection JsonCollection \
-generator LuceneDocumentGenerator -threads 9 -input \
/path/to/msmarco-passage-doc2query -index \
lucene-index.msmarco-passage-doc2query.pos+docvectors+rawdocs -storePositions \
-storeDocvectors -storeRawDocs >& \
log.msmarco-passage-doc2query.pos+docvectors+rawdocs &

The directory /path/to/msmarco-passage/ should be a directory containing jsonl files converted from the official passage collection, which is in tsv format. This page explains how to perform this conversion.

For additional details, see explanation of common indexing options.

Retrieval

Topics and qrels are stored in src/main/resources/topics-and-qrels/. The regression experiments here evaluate on the 6980 dev set questions; see this page for more details.

After indexing has completed, you should be able to perform retrieval as follows:

nohup target/appassembler/bin/SearchCollection -topicreader Tsv -index lucene-index.msmarco-passage-doc2query.pos+docvectors+rawdocs -topics src/main/resources/topics-and-qrels/topics.msmarco-passage.dev-subset.txt -output run.msmarco-passage-doc2query.bm25-default.topics.msmarco-passage.dev-subset.txt -bm25 &

nohup target/appassembler/bin/SearchCollection -topicreader Tsv -index lucene-index.msmarco-passage-doc2query.pos+docvectors+rawdocs -topics src/main/resources/topics-and-qrels/topics.msmarco-passage.dev-subset.txt -output run.msmarco-passage-doc2query.bm25-default+rm3.topics.msmarco-passage.dev-subset.txt -bm25 -rm3 &

nohup target/appassembler/bin/SearchCollection -topicreader Tsv -index lucene-index.msmarco-passage-doc2query.pos+docvectors+rawdocs -topics src/main/resources/topics-and-qrels/topics.msmarco-passage.dev-subset.txt -output run.msmarco-passage-doc2query.bm25-tuned.topics.msmarco-passage.dev-subset.txt -bm25 -k1 0.82 -b 0.68 &

nohup target/appassembler/bin/SearchCollection -topicreader Tsv -index lucene-index.msmarco-passage-doc2query.pos+docvectors+rawdocs -topics src/main/resources/topics-and-qrels/topics.msmarco-passage.dev-subset.txt -output run.msmarco-passage-doc2query.bm25-tuned+rm3.topics.msmarco-passage.dev-subset.txt -bm25 -k1 0.82 -b 0.68 -rm3 &

Evaluation can be performed using trec_eval:

eval/trec_eval.9.0.4/trec_eval -m map -c -m recall.1000 -c src/main/resources/topics-and-qrels/qrels.msmarco-passage.dev-subset.txt run.msmarco-passage-doc2query.bm25-default.topics.msmarco-passage.dev-subset.txt

eval/trec_eval.9.0.4/trec_eval -m map -c -m recall.1000 -c src/main/resources/topics-and-qrels/qrels.msmarco-passage.dev-subset.txt run.msmarco-passage-doc2query.bm25-default+rm3.topics.msmarco-passage.dev-subset.txt

eval/trec_eval.9.0.4/trec_eval -m map -c -m recall.1000 -c src/main/resources/topics-and-qrels/qrels.msmarco-passage.dev-subset.txt run.msmarco-passage-doc2query.bm25-tuned.topics.msmarco-passage.dev-subset.txt

eval/trec_eval.9.0.4/trec_eval -m map -c -m recall.1000 -c src/main/resources/topics-and-qrels/qrels.msmarco-passage.dev-subset.txt run.msmarco-passage-doc2query.bm25-tuned+rm3.topics.msmarco-passage.dev-subset.txt

Effectiveness

With the above commands, you should be able to replicate the following results:

MAP BM25 (Default) +RM3 BM25 (Tuned) +RM3
MS MARCO Passage Ranking: Dev Queries 0.2270 0.2028 0.2293 0.2077
R@1000 BM25 (Default) +RM3 BM25 (Tuned) +RM3
MS MARCO Passage Ranking: Dev Queries 0.8900 0.8916 0.8911 0.8957

The setting "default" refers the default BM25 settings of k1=0.9, b=0.4, while "tuned" refers to the tuned setting of k1=0.82, b=0.72. See this page for more details. Note that these results are slightly different from the above referenced page because those experiments make up "fake" scores when converting runs from MS MARCO format into TREC format for evaluation by trec_eval.

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