2019
Conferences
Adrian-Gabriel Chifu
The R2I_LIS Team Proposes Majority Vote for VarDial’s MRC Task Conference
Proceedings of the Sixth Workshop on NLP for Similar Languages, Varieties and Dialects, VARDIAL2019 2019.
Abstract | Links | BibTeX | Tags: Competition, Dialect Classification, Feature Engineering, Majority Vote
@conference{chifu2019r2i_lis,
title = {The R2I_LIS Team Proposes Majority Vote for VarDial’s MRC Task},
author = {Adrian-Gabriel Chifu},
url = {https://www.aclweb.org/anthology/W19-1414.pdf},
year = {2019},
date = {2019-06-01},
urldate = {2019-06-01},
booktitle = {Proceedings of the Sixth Workshop on NLP for Similar Languages, Varieties and Dialects},
pages = {138--143},
series = {VARDIAL2019},
abstract = {This article presents the model that generated the runs submitted by the R2I LIS team to the VarDial2019 evaluation campaign, more particularly, to the binary classification by dialect sub-task of the Moldavian vs. Romanian Cross-dialect Topic identification (MRC) task. The team proposed a majority vote-based model, between five supervised machine learning models, trained on forty manually-crafted features. One of the three submitted runs was ranked second at the binary classification sub-task, with a performance of 0.7963, in terms of macro-F1 measure. The other two runs were ranked third and fourth, respectively.},
keywords = {Competition, Dialect Classification, Feature Engineering, Majority Vote},
pubstate = {published},
tppubtype = {conference}
}
This article presents the model that generated the runs submitted by the R2I LIS team to the VarDial2019 evaluation campaign, more particularly, to the binary classification by dialect sub-task of the Moldavian vs. Romanian Cross-dialect Topic identification (MRC) task. The team proposed a majority vote-based model, between five supervised machine learning models, trained on forty manually-crafted features. One of the three submitted runs was ranked second at the binary classification sub-task, with a performance of 0.7963, in terms of macro-F1 measure. The other two runs were ranked third and fourth, respectively.
TRANSLATE with x
English
TRANSLATE with
Enable collaborative features and customize widget: Bing Webmaster Portal