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Found 9 papers, 5 papers with code
A Report on the VarDial Evaluation Campaign 2020
This paper presents the results of the VarDial Evaluation Campaign 2020 organized as part of the seventh workshop on Natural Language Processing (NLP) for Similar Languages, Varieties and Dialects (VarDial), co-located with COLING 2020.
Findings of the VarDial Evaluation Campaign 2022
This report presents the results of the shared tasks organized as part of the VarDial Evaluation Campaign 2022.
FreCDo: A Large Corpus for French Cross-Domain Dialect Identification
We present a novel corpus for French dialect identification comprising 413, 522 French text samples collected from public news websites in Belgium, Canada, France and Switzerland.
Self-paced learning to improve text row detection in historical documents with missing labels
An important preliminary step of optical character recognition systems is the detection of text rows.
SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles
In this work, we introduce a corpus for satire detection in Romanian news.
UnibucKernel: Geolocating Swiss German Jodels Using Ensemble Learning
In this work, we describe our approach addressing the Social Media Variety Geolocation task featured in the 2021 VarDial Evaluation Campaign.
Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa -- A Large Romanian Sentiment Data Set
Romanian is one of the understudied languages in computational linguistics, with few resources available for the development of natural language processing tools.
Combining Deep Learning and String Kernels for the Localization of Swiss German Tweets
From simple models for regression, such as Support Vector Regression, to deep neural networks, such as Long Short-Term Memory networks and character-level convolutional neural networks, and, finally, to ensemble models based on meta-learners, such as XGBoost, our interest is focused on approaching the problem from a few different perspectives, in an attempt to minimize the prediction error.
Automatically Identifying Complaints in Social Media
Complaining is a basic speech act regularly used in human and computer mediated communication to express a negative mismatch between reality and expectations in a particular situation.
