Papers with Romanian language
A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus (2024.acl-long)
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| Challenge: | Natural language inference (NLI) is an actively studied topic serving as a proxy for natural language understanding. |
| Approach: | They propose to use a Romanian NLI corpus to analyze sentence pairs . they use multiple machine learning methods to establish competitive baselines . |
| Outcome: | The proposed model improves on the best model by employing a new curriculum learning strategy based on data cartography. |
Distilling the Knowledge of Romanian BERTs Using Multiple Teachers (2022.lrec-1)
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Andrei-Marius Avram, Darius Catrina, Dumitru-Clementin Cercel, Mihai Dascalu, Traian Rebedea, Vasile Pais, Dan Tufis
| Challenge: | Existing approaches to train pre-trained language models focus on the English language, thus widening the gap when considering low-resource languages. |
| Approach: | They propose three versions of distilled BERT models for the Romanian language . they argue that the models offer performance comparable to their teachers . |
| Outcome: | The proposed models perform comparable to their teachers, while being twice as fast on a GPU and 35% smaller. |
SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles (2021.acl-short)
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| Challenge: | a corpus for satire detection in Romanian news is based on satirical reporting . the goal is to ridicule public figures, politics or contemporary events . |
| Approach: | They propose a corpus for satire detection in Romanian news . they gather 55,608 public news articles from multiple real and satirical sources . |
| Outcome: | The proposed corpus is one of the largest corpora for satire detection regardless of language . it is the only one for the Romanian language, and the results show that it is low on the machine level compared to human level . |
RoLargeSum: A Large Dialect-Aware Romanian News Dataset for Summary, Headline, and Keyword Generation (2025.coling-main)
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Andrei-Marius Avram, Mircea Timpuriu, Andreea Iuga, Vlad-Cristian Matei, Iulian-Marius Taiatu, Tudor Găină, Dumitru-Clementin Cercel, Mihaela-Claudia Cercel, Florin Pop
| Challenge: | Using supervised automatic summarization requires sufficient corpora that include pairs of documents and their summaries. |
| Approach: | They propose a large-scale summarization dataset for the Romanian language that is crawled from publicly available news websites. |
| Outcome: | The proposed system performs well in abstractive summarization, which involves generating new sentences that capture the essence of the original text rather than extracting and rephrasing existing sentences. |
BioRo: The Biomedical Corpus for the Romanian Language (L18-1)
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| Challenge: | Biomedical text mining uses linguistic resources available in English, but for other languages such as Romanian, the access to language resources is not straight-forward. |
| Approach: | They present a biomedical corpus of the Romanian language, which is a valuable linguistic asset for biomedically text mining. |
| Outcome: | The proposed corpus will be made publicly available to the biomedical text mining community . the corpus is a reference corpus for the Romanian language . |
A Bird’s-eye View of Language Processing Projects at the Romanian Academy (L18-1)
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| Challenge: | a recent article outlines five projects that address contemporary Romanian language . the authors argue that a constant accumulation of human expertise is needed to develop complex projects. |
| Approach: | a new article gives a general overview of five AI language-related projects at the Romanian Academy . they focus on the creation of a contemporary Romanian language text and speech corpus and language related applications . |
| Outcome: | a new article gives an overview of five AI language-related projects at the Romanian Academy . the projects address contemporary Romanian language, as well as language related applications . |
Introducing RONEC - the Romanian Named Entity Corpus (2020.lrec-1)
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| Challenge: | Named Entity Corpus is a free, open-source resource that contains annotated named entities in copy-right free text. |
| Approach: | They present RONEC - the Named Entity Corpus for the Romanian language . it contains over 26000 entities in 5000 annotated sentences belonging to 16 classes . |
| Outcome: | The free, open-source resource contains over 26000 entities in 5000 annotated sentences, belonging to 16 distinct classes. |
A Novel Contrastive Learning Method for Clickbait Detection on RoCliCo: A Romanian Clickbait Corpus of News Articles (2023.findings-emnlp)
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| Challenge: | Clickbait detection is a task that aims to automatically detect misleading news titles . despite the importance of the task, there is no publicly available clickbait corpus for Romanian . |
| Approach: | They propose a Romanian Clickbait Corpus that automatically detects misleading news titles . they propose four machine learning methods to establish competitive baselines . |
| Outcome: | The proposed model can learn to encode news titles and contents into a deep metric space . the proposed model is available for download on github.com/dariabroscoteanu/RoCliCo. |
GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering (2025.findings-acl)
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| Challenge: | Question answering systems have been used for various domains and languages. |
| Approach: | They propose a novel approach for question answering (QA) that combines a dataset of Romanian legal questions with a CROL corpus of laws. |
| Outcome: | The proposed approach achieves competitive results with generally accepted state-of-the-art methods and even exceeds them in most settings. |
RSC: A Romanian Read Speech Corpus for Automatic Speech Recognition (2020.lrec-1)
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| Challenge: | Romanian language is under-resourced due to the lack of acoustic and linguistic resources. |
| Approach: | They propose to use a Romanian speech corpus to train automatic speech recognition algorithms based on the spoken hotword detection mechanism. |
| Outcome: | The read speech corpus is a speech recognition system that can perform automatic speech recognition and speech synthesis using state-of-the-art speech recognition toolkit. |
Towards Building the LEMI Readability Platform for Children’s Literature in the Romanian Language (2024.lrec-main)
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Madalina Chitez, Mihai Dascalu, Aura Cristina Udrea, Cosmin Strilețchi, Karla Csürös, Roxana Rogobete, Alexandru Oravițan
| Challenge: | Currently, no existing platform integrates a research-based readability formula for the Romanian language, making this tool unique. |
| Approach: | They propose a new readability tool for children’s literature in the Romanian language that uses a self-compiled corpus and a text analysis interface to generate automatic readability reports for uploaded short texts. |
| Outcome: | The proposed readability tool is specifically targeted at primary school students aged 7-11 . it extracts, tests, and calibrates a readability formula for Romanian using the children’s literature corpus and the platform functionalities. |