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add Jelinek-Mercer (Dirichlet) QL scoring #491

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merged 1 commit into from
Nov 30, 2018
Merged

add Jelinek-Mercer (Dirichlet) QL scoring #491

merged 1 commit into from
Nov 30, 2018

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tteofili
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As discussed in #465 I've re introduced the option to use Jelinek Mercer QL scoring (qljm) and added the redundant QL Dirichlet option (qld) rebased against master.

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lintool commented Nov 30, 2018

Thanks! lgtm, I'll merge after CI turns green.

BTW, how does JM compare against D smoothing?
Anything surprising from what the Zhai et al. paper concludes?

@lintool lintool merged commit c1aac5e into castorini:master Nov 30, 2018
@tteofili
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Anything surprising from what the Zhai et al. paper concludes?

my experiments suggest 0.4 / 0.5 is best even for title queries to obtain best NDCG.

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lintool commented Nov 30, 2018

How does JM compare against D smoothing? Better or worse?

@tteofili
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How does JM compare against D smoothing? Better or worse?

here's a quick round of experiments on NYT (on average JM is worse, they're close enough with axiom reranking enabled):

model reranking ndcg map
qld 0.3643 0.1585
qld rm3 0.4082 0.1935
qld ax 0.4120 0.2017
qljm 0.3179 0.1285
qljm rm3 0.3867 0.1811
qljm ax 0.4017 0.2019

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lintool commented Nov 30, 2018

Ah nice. Seems like Anserini is making such experiments easy to run! :)

So it doesn't seem like it's worth adding regressions for QL JM then.

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tteofili commented Nov 30, 2018

Ah nice. Seems like Anserini is making such experiments easy to run! :)

yeah :)

So it doesn't seem like it's worth adding regressions for QL JM then.

agreed.

crystina-z pushed a commit to crystina-z/anserini that referenced this pull request Oct 28, 2022
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2 participants