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Anserini: Regressions for CAR17 (v2.0)

This page documents regression experiments for the TREC 2017 Complex Answer Retrieval (CAR) section-level passage retrieval task (v2.0). The exact configurations for these regressions are stored in this YAML file. Note that this page is automatically generated from this template as part of Anserini's regression pipeline, so do not modify this page directly; modify the template instead.

Indexing

Typical indexing command:

nohup sh target/appassembler/bin/IndexCollection -collection CarCollection -input /path/to/car17v2.0 \
 -index indexes/lucene-index.car17v2.0.pos+docvectors+raw -generator DefaultLuceneDocumentGenerator -threads 1 \
 -storePositions -storeDocvectors -storeRaw >& logs/log.car17v2.0.pos+docvectors+rawdocs &

The directory /path/to/car17v2.0 should be the root directory of Complex Answer Retrieval (CAR) paragraph corpus (v2.0), which can be downloaded here.

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:

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 -index indexes/lucene-index.car17v2.0.pos+docvectors+raw \
 -topicreader Car -topics src/main/resources/topics-and-qrels/topics.car17v2.0.benchmarkY1test.txt \
 -bm25 -output run.car17v2.0.bm25.topics.car17v2.0.benchmarkY1test.txt &

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

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

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

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

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

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.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.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.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.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.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.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) 0.1545 0.1286 0.1364 0.1371 0.1080 0.1077
RECIP_RANK BM25 +RM3 +Ax QL +RM3 +Ax
TREC 2017 CAR: benchmarkY1test (v2.0) 0.2321 0.1927 0.1978 0.2013 0.1598 0.1588