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

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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 > > > > _______________________________________________ > > UNSUBSCRIBE from this page: http://mailman.uib.no/options/corpora > > Corpora mailing list > > Corpora@uib.no > > http://mailman.uib.no/listinfo/corpora > > Olga Lyashevskaya > > School of Linguistics, Faculty of Humanities > Higher School of Economics, Moscow > > _______________________________________________ > UNSUBSCRIBE from this page: http://mailman.uib.no/options/corpora > Corpora mailing list > Corpora@uib.no > http://mailman.uib.no/listinfo/corpora > >

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