Skip to content

Latest commit

 

History

History
132 lines (97 loc) · 9.7 KB

regressions-dl19-passage-docTTTTTquery.md

File metadata and controls

132 lines (97 loc) · 9.7 KB

Anserini: Regressions for DL19 (Passage) w/ docTTTTTquery

This page describes document expansion experiments, integrated into Anserini's regression testing framework, for the TREC 2019 Deep Learning Track (Passage Ranking Task) on the MS MARCO passage collection using relevance judgments from NIST. These experimental runs take advantage of docTTTTTquery expansions.

Note that the NIST relevance judgments provide far more relevant passages per topic, unlike the "sparse" judgments provided by Microsoft (these are sometimes called "dense" judgments to emphasize this contrast). For additional instructions on working with MS MARCO passage collection, refer to this page.

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:

target/appassembler/bin/IndexCollection \
  -collection JsonCollection \
  -input /path/to/msmarco-passage-docTTTTTquery \
  -index indexes/lucene-index.msmarco-passage-docTTTTTquery/ \
  -generator DefaultLuceneDocumentGenerator \
  -threads 9 -storePositions -storeDocvectors -storeRaw \
  >& logs/log.msmarco-passage-docTTTTTquery &

The directory /path/to/msmarco-passage-docTTTTTquery should be a directory containing jsonl files containing the expanded passage collection. Instructions in the docTTTTTquery repo explain how to perform this data preparation.

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 43 topics for which NIST has provided judgments as part of the TREC 2019 Deep Learning Track. The original data can be found here.

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

target/appassembler/bin/SearchCollection \
  -index indexes/lucene-index.msmarco-passage-docTTTTTquery/ \
  -topics src/main/resources/topics-and-qrels/topics.dl19-passage.txt -topicreader TsvInt \
  -output runs/run.msmarco-passage-docTTTTTquery.bm25-default.topics.dl19-passage.txt \
  -bm25 &

target/appassembler/bin/SearchCollection \
  -index indexes/lucene-index.msmarco-passage-docTTTTTquery/ \
  -topics src/main/resources/topics-and-qrels/topics.dl19-passage.txt -topicreader TsvInt \
  -output runs/run.msmarco-passage-docTTTTTquery.bm25-default+rm3.topics.dl19-passage.txt \
  -bm25 -rm3 &

target/appassembler/bin/SearchCollection \
  -index indexes/lucene-index.msmarco-passage-docTTTTTquery/ \
  -topics src/main/resources/topics-and-qrels/topics.dl19-passage.txt -topicreader TsvInt \
  -output runs/run.msmarco-passage-docTTTTTquery.bm25-tuned.topics.dl19-passage.txt \
  -bm25 -bm25.k1 0.82 -bm25.b 0.68 &

target/appassembler/bin/SearchCollection \
  -index indexes/lucene-index.msmarco-passage-docTTTTTquery/ \
  -topics src/main/resources/topics-and-qrels/topics.dl19-passage.txt -topicreader TsvInt \
  -output runs/run.msmarco-passage-docTTTTTquery.bm25-tuned+rm3.topics.dl19-passage.txt \
  -bm25 -bm25.k1 0.82 -bm25.b 0.68 -rm3 &

target/appassembler/bin/SearchCollection \
  -index indexes/lucene-index.msmarco-passage-docTTTTTquery/ \
  -topics src/main/resources/topics-and-qrels/topics.dl19-passage.txt -topicreader TsvInt \
  -output runs/run.msmarco-passage-docTTTTTquery.bm25-tuned2.topics.dl19-passage.txt \
  -bm25 -bm25.k1 2.18 -bm25.b 0.86 &

target/appassembler/bin/SearchCollection \
  -index indexes/lucene-index.msmarco-passage-docTTTTTquery/ \
  -topics src/main/resources/topics-and-qrels/topics.dl19-passage.txt -topicreader TsvInt \
  -output runs/run.msmarco-passage-docTTTTTquery.bm25-tuned2+rm3.topics.dl19-passage.txt \
  -bm25 -bm25.k1 2.18 -bm25.b 0.86 -rm3 &

Evaluation can be performed using trec_eval:

tools/eval/trec_eval.9.0.4/trec_eval -m map -c -l 2 src/main/resources/topics-and-qrels/qrels.dl19-passage.txt runs/run.msmarco-passage-docTTTTTquery.bm25-default.topics.dl19-passage.txt
tools/eval/trec_eval.9.0.4/trec_eval -m recall.1000 -c -l 2 src/main/resources/topics-and-qrels/qrels.dl19-passage.txt runs/run.msmarco-passage-docTTTTTquery.bm25-default.topics.dl19-passage.txt
tools/eval/trec_eval.9.0.4/trec_eval -m ndcg_cut.10 -c src/main/resources/topics-and-qrels/qrels.dl19-passage.txt runs/run.msmarco-passage-docTTTTTquery.bm25-default.topics.dl19-passage.txt

tools/eval/trec_eval.9.0.4/trec_eval -m map -c -l 2 src/main/resources/topics-and-qrels/qrels.dl19-passage.txt runs/run.msmarco-passage-docTTTTTquery.bm25-default+rm3.topics.dl19-passage.txt
tools/eval/trec_eval.9.0.4/trec_eval -m recall.1000 -c -l 2 src/main/resources/topics-and-qrels/qrels.dl19-passage.txt runs/run.msmarco-passage-docTTTTTquery.bm25-default+rm3.topics.dl19-passage.txt
tools/eval/trec_eval.9.0.4/trec_eval -m ndcg_cut.10 -c src/main/resources/topics-and-qrels/qrels.dl19-passage.txt runs/run.msmarco-passage-docTTTTTquery.bm25-default+rm3.topics.dl19-passage.txt

tools/eval/trec_eval.9.0.4/trec_eval -m map -c -l 2 src/main/resources/topics-and-qrels/qrels.dl19-passage.txt runs/run.msmarco-passage-docTTTTTquery.bm25-tuned.topics.dl19-passage.txt
tools/eval/trec_eval.9.0.4/trec_eval -m recall.1000 -c -l 2 src/main/resources/topics-and-qrels/qrels.dl19-passage.txt runs/run.msmarco-passage-docTTTTTquery.bm25-tuned.topics.dl19-passage.txt
tools/eval/trec_eval.9.0.4/trec_eval -m ndcg_cut.10 -c src/main/resources/topics-and-qrels/qrels.dl19-passage.txt runs/run.msmarco-passage-docTTTTTquery.bm25-tuned.topics.dl19-passage.txt

tools/eval/trec_eval.9.0.4/trec_eval -m map -c -l 2 src/main/resources/topics-and-qrels/qrels.dl19-passage.txt runs/run.msmarco-passage-docTTTTTquery.bm25-tuned+rm3.topics.dl19-passage.txt
tools/eval/trec_eval.9.0.4/trec_eval -m recall.1000 -c -l 2 src/main/resources/topics-and-qrels/qrels.dl19-passage.txt runs/run.msmarco-passage-docTTTTTquery.bm25-tuned+rm3.topics.dl19-passage.txt
tools/eval/trec_eval.9.0.4/trec_eval -m ndcg_cut.10 -c src/main/resources/topics-and-qrels/qrels.dl19-passage.txt runs/run.msmarco-passage-docTTTTTquery.bm25-tuned+rm3.topics.dl19-passage.txt

tools/eval/trec_eval.9.0.4/trec_eval -m map -c -l 2 src/main/resources/topics-and-qrels/qrels.dl19-passage.txt runs/run.msmarco-passage-docTTTTTquery.bm25-tuned2.topics.dl19-passage.txt
tools/eval/trec_eval.9.0.4/trec_eval -m recall.1000 -c -l 2 src/main/resources/topics-and-qrels/qrels.dl19-passage.txt runs/run.msmarco-passage-docTTTTTquery.bm25-tuned2.topics.dl19-passage.txt
tools/eval/trec_eval.9.0.4/trec_eval -m ndcg_cut.10 -c src/main/resources/topics-and-qrels/qrels.dl19-passage.txt runs/run.msmarco-passage-docTTTTTquery.bm25-tuned2.topics.dl19-passage.txt

tools/eval/trec_eval.9.0.4/trec_eval -m map -c -l 2 src/main/resources/topics-and-qrels/qrels.dl19-passage.txt runs/run.msmarco-passage-docTTTTTquery.bm25-tuned2+rm3.topics.dl19-passage.txt
tools/eval/trec_eval.9.0.4/trec_eval -m recall.1000 -c -l 2 src/main/resources/topics-and-qrels/qrels.dl19-passage.txt runs/run.msmarco-passage-docTTTTTquery.bm25-tuned2+rm3.topics.dl19-passage.txt
tools/eval/trec_eval.9.0.4/trec_eval -m ndcg_cut.10 -c src/main/resources/topics-and-qrels/qrels.dl19-passage.txt runs/run.msmarco-passage-docTTTTTquery.bm25-tuned2+rm3.topics.dl19-passage.txt

Effectiveness

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

MAP BM25 (default) +RM3 BM25 (tuned) +RM3 BM25 (tuned2) +RM3
DL19 (Passage) 0.4034 0.4485 0.4052 0.4520 0.4046 0.4360
R@1000 BM25 (default) +RM3 BM25 (tuned) +RM3 BM25 (tuned2) +RM3
DL19 (Passage) 0.8310 0.8861 0.8269 0.8826 0.8134 0.8424
nDCG@10 BM25 (default) +RM3 BM25 (tuned) +RM3 BM25 (tuned2) +RM3
DL19 (Passage) 0.6417 0.6548 0.6482 0.6614 0.6336 0.6528

Explanation of settings:

  • The setting "default" refers the default BM25 settings of k1=0.9, b=0.4.
  • The setting "tuned" refers to k1=0.82, b=0.68, tuned on on the original passages using the MS MARCO passage sparse judgments, as described in this page.
  • The setting "tuned2" refers to k1=2.18, b=0.86, tuned via grid search to optimize recall@1000 directly on the expanded passages using the MS MARCO passage sparse judgments (in 2020/12).

Settings tuned on the MS MARCO passage sparse judgments may not work well on the TREC dense judgments.

Note that retrieval metrics are computed to depth 1000 hits per query (as opposed to 100 hits per query for DL19 doc ranking). Also, for computing nDCG, remember that we keep qrels of all relevance grades, whereas for other metrics (e.g., MAP), relevance grade 1 is considered not relevant (i.e., use the -l 2 option in trec_eval).