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regressions-car17v2.0-doc2query.md

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Anserini: Regressions for CAR17 (v2.0) + Doc2query

This page documents regression experiments for the TREC 2017 Complex Answer Retrieval (CAR) section-level passage retrieval task (v2.0), 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 30 -input \
/path/to/car17v2.0-doc2query -index \
lucene-index.car17v2.0-doc2query.pos+docvectors+rawdocs -storePositions \
-storeDocvectors -storeRawDocs >& log.car17v2.0-doc2query.pos+docvectors+rawdocs \
&

The directory /path/to/car17v2.0-doc2query should be the root directory of Complex Answer Retrieval (CAR) paragraph corpus (v2.0) that has been augmented with the Doc2query expansions, i.e., collection_jsonl_expanded_topk10/ as described in this page.

For additional details, see explanation of common indexing options.

Retrieval

The "benchmarkY1-test" topics and qrels (v2.0) are stored in src/main/resources/topics-and-qrels/, downloaded from the CAR website:

  • topics.car17v2.0.benchmarkY1test.txt
  • qrels.car17v2.0.benchmarkY1test.txt

Specifically, this is the section-level passage retrieval task with automatic ground truth.

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

nohup target/appassembler/bin/SearchCollection -topicreader Car -index lucene-index.car17v2.0-doc2query.pos+docvectors+rawdocs -topics src/main/resources/topics-and-qrels/topics.car17v2.0.benchmarkY1test.txt -output run.car17v2.0-doc2query.bm25.topics.car17v2.0.benchmarkY1test.txt -bm25 &

nohup target/appassembler/bin/SearchCollection -topicreader Car -index lucene-index.car17v2.0-doc2query.pos+docvectors+rawdocs -topics src/main/resources/topics-and-qrels/topics.car17v2.0.benchmarkY1test.txt -output run.car17v2.0-doc2query.bm25+rm3.topics.car17v2.0.benchmarkY1test.txt -bm25 -rm3 &

nohup target/appassembler/bin/SearchCollection -topicreader Car -index lucene-index.car17v2.0-doc2query.pos+docvectors+rawdocs -topics src/main/resources/topics-and-qrels/topics.car17v2.0.benchmarkY1test.txt -output run.car17v2.0-doc2query.bm25+ax.topics.car17v2.0.benchmarkY1test.txt -bm25 -axiom -rerankCutoff 20 -axiom.deterministic &

nohup target/appassembler/bin/SearchCollection -topicreader Car -index lucene-index.car17v2.0-doc2query.pos+docvectors+rawdocs -topics src/main/resources/topics-and-qrels/topics.car17v2.0.benchmarkY1test.txt -output run.car17v2.0-doc2query.ql.topics.car17v2.0.benchmarkY1test.txt -ql &

nohup target/appassembler/bin/SearchCollection -topicreader Car -index lucene-index.car17v2.0-doc2query.pos+docvectors+rawdocs -topics src/main/resources/topics-and-qrels/topics.car17v2.0.benchmarkY1test.txt -output run.car17v2.0-doc2query.ql+rm3.topics.car17v2.0.benchmarkY1test.txt -ql -rm3 &

nohup target/appassembler/bin/SearchCollection -topicreader Car -index lucene-index.car17v2.0-doc2query.pos+docvectors+rawdocs -topics src/main/resources/topics-and-qrels/topics.car17v2.0.benchmarkY1test.txt -output run.car17v2.0-doc2query.ql+ax.topics.car17v2.0.benchmarkY1test.txt -ql -axiom -rerankCutoff 20 -axiom.deterministic &

Evaluation can be performed using trec_eval:

eval/trec_eval.9.0.4/trec_eval -c -m map -c -m recip_rank src/main/resources/topics-and-qrels/qrels.car17v2.0.benchmarkY1test.txt run.car17v2.0-doc2query.bm25.topics.car17v2.0.benchmarkY1test.txt

eval/trec_eval.9.0.4/trec_eval -c -m map -c -m recip_rank src/main/resources/topics-and-qrels/qrels.car17v2.0.benchmarkY1test.txt run.car17v2.0-doc2query.bm25+rm3.topics.car17v2.0.benchmarkY1test.txt

eval/trec_eval.9.0.4/trec_eval -c -m map -c -m recip_rank src/main/resources/topics-and-qrels/qrels.car17v2.0.benchmarkY1test.txt run.car17v2.0-doc2query.bm25+ax.topics.car17v2.0.benchmarkY1test.txt

eval/trec_eval.9.0.4/trec_eval -c -m map -c -m recip_rank src/main/resources/topics-and-qrels/qrels.car17v2.0.benchmarkY1test.txt run.car17v2.0-doc2query.ql.topics.car17v2.0.benchmarkY1test.txt

eval/trec_eval.9.0.4/trec_eval -c -m map -c -m recip_rank src/main/resources/topics-and-qrels/qrels.car17v2.0.benchmarkY1test.txt run.car17v2.0-doc2query.ql+rm3.topics.car17v2.0.benchmarkY1test.txt

eval/trec_eval.9.0.4/trec_eval -c -m map -c -m recip_rank src/main/resources/topics-and-qrels/qrels.car17v2.0.benchmarkY1test.txt run.car17v2.0-doc2query.ql+ax.topics.car17v2.0.benchmarkY1test.txt

Effectiveness

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

MAP BM25 +RM3 +Ax QL +RM3 +Ax
TREC 2017 CAR: benchmarkY1test (v2.0) 0.1807 0.1521 0.1470 0.1752 0.1453 0.1339
RECIP_RANK BM25 +RM3 +Ax QL +RM3 +Ax
TREC 2017 CAR: benchmarkY1test (v2.0) 0.2750 0.2275 0.2186 0.2653 0.2156 0.1981