11 citations · 29 across the 21 of their papers we have counts for
22 papers · 1 filter
RoIt-XMASA: Multi-Domain Multilingual Sentiment Analysis Dataset for Romanian and Italian
Andrei-Marius Avram, Aureliu Valentin Antonie, Cosmin-Mircea Croitoru +2
We present RoIt-XMASA, a multilingual dataset that extends the Cross-lingual Multi-domain Amazon Sentiment Analysis to Italian and Romanian, comprising 36,000 labeled reviews acros…
MoRoVoc: A Large Dataset for Geographical Variation Identification of the Spoken Romanian Language
Andrei-Marius Avram, Ema-Ioana Bănescu, Anda-Teodora Robea +2
This paper introduces MoRoVoc, the largest dataset for analyzing the regional variation of spoken Romanian. It has more than 93 hours of audio and 88,192 audio samples, balanced be…
UniBERT: Adversarial Training for Language-Universal Representations
Andrei-Marius Avram, Marian Lupaşcu, Dumitru-Clementin Cercel +2
This paper presents UniBERT, a compact multilingual language model that uses an innovative training framework that integrates three components: masked language modeling, adversaria…
RoLargeSum: A Large Dialect-Aware Romanian News Dataset for Summary, Headline, and Keyword Generation
Andrei-Marius Avram, Mircea Timpuriu, Andreea Iuga +6
Using supervised automatic summarisation methods requires sufficient corpora that include pairs of documents and their summaries. Similarly to many tasks in natural language proces…
RELATE: A Modern Processing Platform for Romanian Language
Vasile Păiş, Radu Ion, Andrei-Marius Avram +2
This paper presents the design and evolution of the RELATE platform. It provides a high-performance environment for natural language processing activities, specially constructed fo…
RoQLlama: A Lightweight Romanian Adapted Language Model
George-Andrei Dima, Andrei-Marius Avram, Cristian-George Crăciun +1
The remarkable achievements obtained by open-source large language models (LLMs) in recent years have predominantly been concentrated on tasks involving the English language. In th…
HistNERo: Historical Named Entity Recognition for the Romanian Language
Andrei-Marius Avram, Andreea Iuga, George-Vlad Manolache +8
This work introduces HistNERo, the first Romanian corpus for Named Entity Recognition (NER) in historical newspapers. The dataset contains 323k tokens of text, covering more than h…
Towards Improving the Performance of Pre-Trained Speech Models for Low-Resource Languages Through Lateral Inhibition
Andrei-Marius Avram, Răzvan-Alexandru Smădu, Vasile Păiş +3
With the rise of bidirectional encoder representations from Transformer models in natural language processing, the speech community has adopted some of their development methodolog…
Multilingual Multiword Expression Identification Using Lateral Inhibition and Domain Adaptation
Andrei-Marius Avram, Verginica Barbu Mititelu, Vasile Păiş +2
Correctly identifying multiword expressions (MWEs) is an important task for most natural language processing systems since their misidentification can result in ambiguity and misun…
Adversarial Capsule Networks for Romanian Satire Detection and Sentiment Analysis
Sebastian-Vasile Echim, Răzvan-Alexandru Smădu, Andrei-Marius Avram +2
Satire detection and sentiment analysis are intensively explored natural language processing (NLP) tasks that study the identification of the satirical tone from texts and extracti…
RoBERTweet: A BERT Language Model for Romanian Tweets
Iulian-Marius Tăiatu, Andrei-Marius Avram, Dumitru-Clementin Cercel +1
Developing natural language processing (NLP) systems for social media analysis remains an important topic in artificial intelligence research. This article introduces RoBERTweet, t…
Romanian Multiword Expression Detection Using Multilingual Adversarial Training and Lateral Inhibition
Andrei-Marius Avram, Verginica Barbu Mititelu, Dumitru-Clementin Cercel
Multiword expressions are a key ingredient for developing large-scale and linguistically sound natural language processing technology. This paper describes our improvements in auto…
TA-DA: Topic-Aware Domain Adaptation for Scientific Keyphrase Identification and Classification (Student Abstract)
Răzvan-Alexandru Smădu, George-Eduard Zaharia, Andrei-Marius Avram +3
Keyphrase identification and classification is a Natural Language Processing and Information Retrieval task that involves extracting relevant groups of words from a given text rela…
An Open-Domain QA System for e-Governance
Radu Ion, Andrei-Marius Avram, Vasile Păiş +4
The paper presents an open-domain Question Answering system for Romanian, answering COVID-19 related questions. The QA system pipeline involves automatic question processing, autom…
Distilling the Knowledge of Romanian BERTs Using Multiple Teachers
Andrei-Marius Avram, Darius Catrina, Dumitru-Clementin Cercel +4
Running large-scale pre-trained language models in computationally constrained environments remains a challenging problem yet to be addressed, while transfer learning from these mo…
Romanian Speech Recognition Experiments from the ROBIN Project
Andrei-Marius Avram, Vasile Păiş, Dan Tufiş
One of the fundamental functionalities for accepting a socially assistive robot is its communication capabilities with other agents in the environment. In the context of the ROBIN…
Human-Machine Interaction Speech Corpus from the ROBIN project
Vasile Păiş, Radu Ion, Andrei-Marius Avram +3
This paper introduces a new Romanian speech corpus from the ROBIN project, called ROBIN Technical Acquisition Speech Corpus (ROBINTASC). Its main purpose was to improve the behavio…
PyEuroVoc: A Tool for Multilingual Legal Document Classification with EuroVoc Descriptors
Andrei-Marius Avram, Vasile Pais, Dan Tufis
EuroVoc is a multilingual thesaurus that was built for organizing the legislative documentary of the European Union institutions. It contains thousands of categories at different l…
UPB at SemEval-2021 Task 8: Extracting Semantic Information on Measurements as Multi-Turn Question Answering
Andrei-Marius Avram, George-Eduard Zaharia, Dumitru-Clementin Cercel +1
Extracting semantic information on measurements and counts is an important topic in terms of analyzing scientific discourses. The 8th task of SemEval-2021: Counts and Measurements…
The birth of Romanian BERT
Stefan Daniel Dumitrescu, Andrei-Marius Avram, Sampo Pyysalo
Large-scale pretrained language models have become ubiquitous in Natural Language Processing. However, most of these models are available either in high-resource languages, in part…
UPB at SemEval-2020 Task 6: Pretrained Language Models for Definition Extraction
Andrei-Marius Avram, Dumitru-Clementin Cercel, Costin-Gabriel Chiru
This work presents our contribution in the context of the 6th task of SemEval-2020: Extracting Definitions from Free Text in Textbooks (DeftEval). This competition consists of thre…
Introducing RONEC -- the Romanian Named Entity Corpus
Stefan Daniel Dumitrescu, Andrei-Marius Avram
We present RONEC - the Named Entity Corpus for the Romanian language. The corpus contains over 26000 entities in ~5000 annotated sentences, belonging to 16 distinct classes. The se…