Academic Publications

@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}

}