@inproceedings{dinu-etal-2014-aggregation,
title = "Aggregation methods for efficient collocation detection",
author = "Dinu, Anca and
Dinu, Liviu and
Sorodoc, Ionut",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/1184_Paper.pdf",
pages = "4041--4045",
abstract = "In this article we propose a rank aggregation method for the task of collocations detection. It consists of applying some well-known methods (e.g. Dice method, chi-square test, z-test and likelihood ratio) and then aggregating the resulting collocations rankings by rank distance and Borda score. These two aggregation methods are especially well suited for the task, since the results of each individual method naturally forms a ranking of collocations. Combination methods are known to usually improve the results, and indeed, the proposed aggregation method performs better then each individual method taken in isolation.",
}
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%0 Conference Proceedings
%T Aggregation methods for efficient collocation detection
%A Dinu, Anca
%A Dinu, Liviu
%A Sorodoc, Ionut
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F dinu-etal-2014-aggregation
%X In this article we propose a rank aggregation method for the task of collocations detection. It consists of applying some well-known methods (e.g. Dice method, chi-square test, z-test and likelihood ratio) and then aggregating the resulting collocations rankings by rank distance and Borda score. These two aggregation methods are especially well suited for the task, since the results of each individual method naturally forms a ranking of collocations. Combination methods are known to usually improve the results, and indeed, the proposed aggregation method performs better then each individual method taken in isolation.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/1184_Paper.pdf
%P 4041-4045
Markdown (Informal)
[Aggregation methods for efficient collocation detection](http://www.lrec-conf.org/proceedings/lrec2014/pdf/1184_Paper.pdf) (Dinu et al., LREC 2014)
ACL
- Anca Dinu, Liviu Dinu, and Ionut Sorodoc. 2014. Aggregation methods for efficient collocation detection. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 4041–4045, Reykjavik, Iceland. European Language Resources Association (ELRA).