Hi,

Would it make sense to compute the Minimum Edit Distance to transform one
list into the other?

Best,
----------
Hugo Gonçalo Oliveira
CISUC, Department of Informatics Engineering, University of Coimbra
http://eden.dei.uc.pt/~hroliv

On Fri, Oct 14, 2016 at 10:01 AM, Eric Atwell <e.s.atw...@leeds.ac.uk>
wrote:

> Thanks Olga, BUT I don't see how Spearman's (or other) rank correlation
> formula measures overlap between 2 ranked lists containing some different
> words.
>
>
> For example, what is the similarity between 2 "distributional semantics"
> representations of God?:
>
> (1 move, 2 bless, 3 and, 4 forbid, 5 have, 6 be, 7 create, 8 do, 9 know,
> 10 want) and
>
> (1 bless, 2 blesses, 3 delusion, 4 incarnate, 5 hates, 6 himself, 7
> exists, 8 almighty, 9 forbid, 10 rest)
>
>
>  A simple measure involves count of overlapping words (bless, forbid) i.e.
> this scores 2 (or 2/10, or 2/20)
>
> BUT I also want to take into account ranks: (bless 2,1), (forbid 4,9)
>
>
> Does God shed light on my problems?
>
>
> Eric
>
>
> Eric Atwell, Asst Prof, Language@Leeds and Artificial Intelligence groups,
> School of Computing, University of Leeds, Times University of the Year
> 2017
>
> ------------------------------
> *From:* Ольга Ляшевская <ole...@yandex.ru>
> *Sent:* 14 October 2016 08:09:36
> *To:* Eric Atwell; CORPORA discussion forum
> *Cc:* AbdulRahman AlOsaimy; Claire Brierley
> *Subject:* Re: [Corpora-List] metric of overlap between two ranked lists?
>
> 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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