1 citations · 2 across the 8 of their papers we have counts for
11 papers
Neural Grammatical Error Correction for Romanian
Teodor-Mihai Cotet, Stefan Ruseti, Mihai Dascalu
Resources for Grammatical Error Correction (GEC) in non-English languages are scarce, while available spellcheckers in these languages are mostly limited to simple corrections and…
UPB @ ACTI: Detecting Conspiracies using fine tuned Sentence Transformers
Andrei Paraschiv, Mihai Dascalu
Conspiracy theories have become a prominent and concerning aspect of online discourse, posing challenges to information integrity and societal trust. As such, we address conspiracy…
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…
UPB at SemEval-2022 Task 5: Enhancing UNITER with Image Sentiment and Graph Convolutional Networks for Multimedia Automatic Misogyny Identification
Andrei Paraschiv, Mihai Dascalu, Dumitru-Clementin Cercel
In recent times, the detection of hate-speech, offensive, or abusive language in online media has become an important topic in NLP research due to the exponential growth of social…
Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings for Complex Word Identification
George-Eduard Zaharia, Răzvan-Alexandru Smădu, Dumitru-Clementin Cercel +1
Complex word identification (CWI) is a cornerstone process towards proper text simplification. CWI is highly dependent on context, whereas its difficulty is augmented by the scarci…
UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection
Andrei Paraschiv, Dumitru-Clementin Cercel, Mihai Dascalu
The real-world impact of polarization and toxicity in the online sphere marked the end of 2020 and the beginning of this year in a negative way. Semeval-2021, Task 5 - Toxic Spans…
UPB at SemEval-2021 Task 1: Combining Deep Learning and Hand-Crafted Features for Lexical Complexity Prediction
George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu
Reading is a complex process which requires proper understanding of texts in order to create coherent mental representations. However, comprehension problems may arise due to hard-…
UPB at SemEval-2021 Task 7: Adversarial Multi-Task Learning for Detecting and Rating Humor and Offense
Răzvan-Alexandru Smădu, Dumitru-Clementin Cercel, Mihai Dascalu
Detecting humor is a challenging task since words might share multiple valences and, depending on the context, the same words can be even used in offensive expressions. Neural netw…
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…
Cross-Lingual Transfer Learning for Complex Word Identification
George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu
Complex Word Identification (CWI) is a task centered on detecting hard-to-understand words, or groups of words, in texts from different areas of expertise. The purpose of CWI is to…
UPB at SemEval-2020 Task 11: Propaganda Detection with Domain-Specific Trained BERT
Andrei Paraschiv, Dumitru-Clementin Cercel, Mihai Dascalu
Manipulative and misleading news have become a commodity for some online news outlets and these news have gained a significant impact on the global mindset of people. Propaganda is…