Hi Eric, The paper of (Bar-Ilan et al., 2006) could be very useful to you. It discusses various measures, including overlap, Spearman's footrule and G-measure. We have explored those in one study (Trigo et al., 2015), so you may have a look at what we did. There is also an interesting measure based on Spearman, but it giving a greater weight to elements positioned higher in the ranking (Costa et al., 2005).

Greetings Pavel Brazdil http://www.liaad.up.pt/area/pbrazdil/ Bar-Ilan, J., Mat-Hassan, M., and Levene, M. (2006). Methods for comparing rankings of search engine results. Computer networks, 50(10):1448–1463. L Trigo, M Víta, R Sarmento, P Brazdil, Retrieval, visualization and validation of affinities between documents, in 1st Int. Workshop on the design, development and use of Knowledge IT artifacts in professional communities and aggregations - KITA 2015, 2015. SciTePress, 2015 Joaquim Pinto da Costa and Carlos Soares, A WEIGHTED RANK MEASURE OF CORRELATION, Aust. N. Z. J. Stat. 47(4), 2005, 515–529 On Fri, Oct 14, 2016 at 11:25 AM, Hugo Gonçalo Oliveira <hro...@dei.uc.pt> wrote: > 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 >> > >> > _______________________________________________ >> > 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 >> >> > > _______________________________________________ > 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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