no code implementations • VarDial (COLING) 2022 • Andrea Ceolin
We present our contribution to the Identification of Languages and Dialects of Italy shared task (ITDI) proposed in the VarDial Evaluation Campaign 2022, which asked participants to automatically identify the language of a text associated to one of the language varieties of Italy.
1 code implementation • EACL (VarDial) 2021 • Andrea Ceolin
In this work we compare the performance of convolutional neural networks and shallow models on three out of the four language identification shared tasks proposed in the VarDial Evaluation Campaign 2021.
1 code implementation • VarDial (COLING) 2020 • Andrea Ceolin, Hong Zhang
Our best model reached an F1 score of 0. 715 on the evaluation dataset of tweets, and 0. 667 on the held-out test dataset.
no code implementations • NAACL 2021 • Kokil Jaidka, Andrea Ceolin, Iknoor Singh, Niyati Chhaya, Lyle Ungar
We show how the data supports the classic understanding of style matching, where positive emotion and the use of first-person pronouns predict a positive emotional change in a Wikipedia contributor.
no code implementations • WS 2019 • Andrea Ceolin, Ollie Sayeed
The concept of {`}markedness{'} has been influential in phonology for almost a century.
no code implementations • RANLP 2017 • Dimitar Kazakov, Guido Cordoni, Andrea Ceolin, Monica-Alex Irimia, rina, Shin-Sook Kim, Dimitris Michelioudakis, Nina Radkevich, Cristina Guardiano, Giuseppe Longobardi
The use of parameters in the description of natural language syntax has to balance between the need to discriminate among (sometimes subtly different) languages, which can be seen as a cross-linguistic version of Chomsky{'}s (1964) descriptive adequacy, and the complexity of the acquisition task that a large number of parameters would imply, which is a problem for explanatory adequacy.