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# Anserini Regressions: TREC 2017 Common Core Track

**Models**: various bag-of-words approaches

This page describes regressions for the TREC 2017 Common Core Track, which uses the [New York Times Annotated Corpus](https://catalog.ldc.upenn.edu/LDC2008T19).
The exact configurations for these regressions are stored in [this YAML file](${yaml}).
Note that this page is automatically generated from [this template](${template}) as part of Anserini's regression pipeline, so do not modify this page directly; modify the template instead.

From one of our Waterloo servers (e.g., `orca`), the following command will perform the complete regression, end to end:

```
python src/main/python/run_regression.py --index --verify --search --regression ${test_name}
```

## Indexing

Typical indexing command:

```
${index_cmds}
```

The directory `/path/to/nyt_corpus/` should be the root directory of the [New York Times Annotated Corpus](https://catalog.ldc.upenn.edu/LDC2008T19), i.e., `ls /path/to/nyt_corpus/`
should bring up a bunch of subdirectories, `1987` to `2007`.

For additional details, see explanation of [common indexing options](common-indexing-options.md).

## Retrieval

Topics and qrels are stored in [`src/main/resources/topics-and-qrels/`](../src/main/resources/topics-and-qrels/), downloaded from NIST:

+ [`topics.core17.txt`](../src/main/resources/topics-and-qrels/topics.core17.txt): [topics for the TREC 2017 Common Core Track](https://trec.nist.gov/data/core/core_nist.txt)
+ [`qrels.core17.txt`](../src/main/resources/topics-and-qrels/qrels.core17.txt): [qrels for the TREC 2017 Common Core Track](https://trec.nist.gov/data/core/qrels.txt)

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

```
${ranking_cmds}
```

Evaluation can be performed using `trec_eval`:

```
${eval_cmds}
```

## Effectiveness

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

${effectiveness}

## Reproduction Log[*](reproducibility.md)

+ Results reproduced by [@tteofili](https://github.com/tteofili) on 2019-01-27 (commit [`951090`](https://github.com/castorini/Anserini/commit/951090b66230040f037dde46534d896416467337))
+ Results reproduced by [@chriskamphuis](https://github.com/chriskamphuis) on 2019-09-07 (commit [`61f6f20`](https://github.com/castorini/anserini/commit/61f6f20ff6872484966ea1badcdcdcebf1eea852))
+ Results reproduced by [@yuki617](https://github.com/yuki617) on 2020-05-17 (commit [`cee4463`](https://github.com/castorini/anserini/commit/cee446338137415899436f0b2f2d738769745cde))
+ Results reproduced by [@x65han](https://github.com/x65han) on 2020-05-19 (commit [`33b0684`](https://github.com/castorini/anserini/commit/33b068437c4582067486e5fe79dfbecb8d4a145c))