Summary of the paper
| Title | Aggregation Methods for Efficient Collocation Detection |
|---|---|
| Authors | Anca Dinu, Liviu Dinu and Ionut Sorodoc |
| 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. |
| Topics | Multilinguality, Other |
Full paper  |
Aggregation Methods for Efficient Collocation Detection |
| Bibtex | @InProceedings{DINU14.1184, author = {Anca Dinu and Liviu Dinu and Ionut Sorodoc}, title = {Aggregation Methods for Efficient Collocation Detection}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |