Search Results for author:
Found 6 papers, 3 papers with code
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.
DeepREF: A Framework for Optimized Deep Learning-based Relation Classification
There are many studies in this subarea of NLP that continue to be explored, such as SemEval campaigns (2010 to 2018), or DDI Extraction (2013). For more than ten years, different RE systems using mainly statistical models have been proposed as well as the frameworks to develop them.
Can we predict QPP? An approach based on multivariate outliers
Query performance prediction (QPP) aims to forecast the effectiveness of a search engine across a range of queries and documents.
Linguistic features for sentence difficulty prediction in ABSA
The first one is binary and labels a sentence as difficult if the classifiers fail to correctly predict the sentiment polarity.
Aspect-Based Sentiment Analysis
Natural Language Understanding
+3
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.
The R2I\_LIS Team Proposes Majority Vote for VarDial's MRC Task
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.
