Dear Eric,

Spearman's rank correlation coefficient will work in this case, I think.
https://en.wikipedia.org/wiki/Spearman%27s_rank_correlation_coefficient

Best,
Olga

14.10.2016, 09:54, "Eric Atwell" <e.s.atw...@leeds.ac.uk>:
> Is there a standard metric of overlap between two ranked lists?
> e.g. to measure/score the similarity between top 10 keywords extracted
> using 2 different formulae, such as LL v MI?
> OR e.g. to measure/score the similarity between top 10 hits from Google
> v top 10 hits from Bing for a give search phrase?
> OR e.g. to measure/score the similarity between ranked lists of PoS-tags
> predicted for a word by two rival PoS-taggers in an ensemble tagger?
>
> If these were unranked sets of keywords, i could simply count the
> intersection. But I want to take rank into account in some senible way.
>
> thanks for expert pointers to proven metrics ...
>
> Eric Atwell, Asst Prof, Language@Leeds and Artificial Intelligence groups,
> School of Computing, University of Leeds, Times University of the Year 2017
>
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Olga Lyashevskaya

School of Linguistics, Faculty of Humanities
 Higher School of Economics, Moscow

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