1.8k citations · 2.9k across the 66 of their papers we have counts for
22 papers · 1 filter
Learning Using Generated Privileged Information by Text-to-Image Diffusion Models
Rafael-Edy Menadil, Mariana-Iuliana Georgescu, Radu Tudor Ionescu
Learning Using Privileged Information is a particular type of knowledge distillation where the teacher model benefits from an additional data representation during training, called…
RoDia: A New Dataset for Romanian Dialect Identification from Speech
Codrut Rotaru, Nicolae-Catalin Ristea, Radu Tudor Ionescu
We introduce RoDia, the first dataset for Romanian dialect identification from speech. The RoDia dataset includes a varied compilation of speech samples from five distinct regions…
Cascaded Cross-Modal Transformer for Request and Complaint Detection
Nicolae-Catalin Ristea, Radu Tudor Ionescu
We propose a novel cascaded cross-modal transformer (CCMT) that combines speech and text transcripts to detect customer requests and complaints in phone conversations. Our approach…
FreCDo: A Large Corpus for French Cross-Domain Dialect Identification
Mihaela Gaman, Adrian-Gabriel Chifu, William Domingues +1
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. T…
VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web
Andrei Manolache, Florin Brad, Antonio Barbalau +2
The DarkWeb represents a hotbed for illicit activity, where users communicate on different market forums in order to exchange goods and services. Law enforcement agencies benefit f…
Rethinking the Authorship Verification Experimental Setups
Florin Brad, Andrei Manolache, Elena Burceanu +3
One of the main drivers of the recent advances in authorship verification is the PAN large-scale authorship dataset. Despite generating significant progress in the field, inconsist…
SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles
Ana-Cristina Rogoz, Mihaela Gaman, Radu Tudor Ionescu
In this work, we introduce a corpus for satire detection in Romanian news. We gathered 55,608 public news articles from multiple real and satirical news sources, composing one of t…
FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection
Radu Tudor Ionescu, Adrian Gabriel Chifu
In this paper, we introduce FreSaDa, a French Satire Data Set, which is composed of 11,570 articles from the news domain. In order to avoid reporting unreasonably high accuracy rat…
UnibucKernel: Geolocating Swiss German Jodels Using Ensemble Learning
Mihaela Gaman, Sebastian Cojocariu, Radu Tudor Ionescu
In this work, we describe our approach addressing the Social Media Variety Geolocation task featured in the 2021 VarDial Evaluation Campaign. We focus on the second subtask, which…
Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa -- A Large Romanian Sentiment Data Set
Anca Maria Tache, Mihaela Gaman, Radu Tudor Ionescu
Romanian is one of the understudied languages in computational linguistics, with few resources available for the development of natural language processing tools. In this paper, we…
Combining Deep Learning and String Kernels for the Localization of Swiss German Tweets
Mihaela Gaman, Radu Tudor Ionescu
In this work, we introduce the methods proposed by the UnibucKernel team in solving the Social Media Variety Geolocation task featured in the 2020 VarDial Evaluation Campaign. We a…
The Unreasonable Effectiveness of Machine Learning in Moldavian versus Romanian Dialect Identification
Mihaela Găman, Radu Tudor Ionescu
Motivated by the seemingly high accuracy levels of machine learning models in Moldavian versus Romanian dialect identification and the increasing research interest on this topic, w…
Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation
Radu Tudor Ionescu, Andrei M. Butnaru
In this paper, we propose a novel representation for text documents based on aggregating word embedding vectors into document embeddings. Our approach is inspired by the Vector of…
MOROCO: The Moldavian and Romanian Dialectal Corpus
Andrei M. Butnaru, Radu Tudor Ionescu
In this work, we introduce the MOldavian and ROmanian Dialectal COrpus (MOROCO), which is freely available for download at https://github.com/butnaruandrei/MOROCO. The corpus conta…
Transductive Learning with String Kernels for Cross-Domain Text Classification
Radu Tudor Ionescu, Andrei M. Butnaru
For many text classification tasks, there is a major problem posed by the lack of labeled data in a target domain. Although classifiers for a target domain can be trained on labele…
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set
Radu Tudor Ionescu, Andrei M. Butnaru
Recently, string kernels have obtained state-of-the-art results in various text classification tasks such as Arabic dialect identification or native language identification. In thi…
UnibucKernel Reloaded: First Place in Arabic Dialect Identification for the Second Year in a Row
Andrei M. Butnaru, Radu Tudor Ionescu
We present a machine learning approach that ranked on the first place in the Arabic Dialect Identification (ADI) Closed Shared Tasks of the 2018 VarDial Evaluation Campaign. The pr…
Automated essay scoring with string kernels and word embeddings
Mădălina Cozma, Andrei M. Butnaru, Radu Tudor Ionescu
In this work, we present an approach based on combining string kernels and word embeddings for automatic essay scoring. String kernels capture the similarity among strings based on…
UnibucKernel: A kernel-based learning method for complex word identification
Andrei M. Butnaru, Radu Tudor Ionescu
In this paper, we present a kernel-based learning approach for the 2018 Complex Word Identification (CWI) Shared Task. Our approach is based on combining multiple low-level feature…
Can string kernels pass the test of time in Native Language Identification?
Radu Tudor Ionescu, Marius Popescu
We describe a machine learning approach for the 2017 shared task on Native Language Identification (NLI). The proposed approach combines several kernels using multiple kernel learn…
From Image to Text Classification: A Novel Approach based on Clustering Word Embeddings
Andrei M. Butnaru, Radu Tudor Ionescu
In this paper, we propose a novel approach for text classification based on clustering word embeddings, inspired by the bag of visual words model, which is widely used in computer…
ShotgunWSD: An unsupervised algorithm for global word sense disambiguation inspired by DNA sequencing
Andrei M. Butnaru, Radu Tudor Ionescu, Florentina Hristea
In this paper, we present a novel unsupervised algorithm for word sense disambiguation (WSD) at the document level. Our algorithm is inspired by a widely-used approach in the field…