@inproceedings{chifu-2019-r2i,
title = "The {R}2{I}{\_}{LIS} Team Proposes Majority Vote for {V}ar{D}ial`s {MRC} Task",
author = "Chifu, Adrian-Gabriel",
editor = {Zampieri, Marcos and
Nakov, Preslav and
Malmasi, Shervin and
Ljube{\v{s}}i{\'c}, Nikola and
Tiedemann, J{\"o}rg and
Ali, Ahmed},
booktitle = "Proceedings of the Sixth Workshop on {NLP} for Similar Languages, Varieties and Dialects",
month = jun,
year = "2019",
address = "Ann Arbor, Michigan",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/Add-Cong-Liu-Florida-Atlantic-University-author-id/W19-1414/",
doi = "10.18653/v1/W19-1414",
pages = "138--143",
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."
}
Markdown (Informal)
[The R2I_LIS Team Proposes Majority Vote for VarDial’s MRC Task](https://preview.aclanthology.org/Add-Cong-Liu-Florida-Atlantic-University-author-id/W19-1414/) (Chifu, VarDial 2019)
ACL