1 code implementation • FNP (COLING) 2020 • Marius Ionescu, Andrei-Marius Avram, George-Andrei Dima, Dumitru-Clementin Cercel, Mihai Dascalu
Financial causality detection is centered on identifying connections between different assets from financial news in order to improve trading strategies.
no code implementations • RANLP 2019 • Bogdan Nicula, Mihai Dascalu, Maria-Dorinela S{\^\i}rbu, {\textcommabelow{S}}tefan Tr{\u{a}}u{\textcommabelow{s}}an-Matu, Alex Nu{\textcommabelow{t}}{\u{a}}, ru
Information on drug administration is obtained traditionally from doctors and pharmacists, as well as leaflets which provide in most cases cumbersome and hard-to-follow details.
no code implementations • 6 Sep 2020 • Stefan Ruseti, Teodor-Mihai Cotet, Mihai Dascalu
Diacritics restoration is a mandatory step for adequately processing Romanian texts, and not a trivial one, as you generally need context in order to properly restore a character.
no code implementations • SEMEVAL 2020 • 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.
no code implementations • 2 Oct 2020 • George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu
Our aim is to provide evidence that the proposed models can learn the characteristics of complex words in a multilingual environment by relying on the CWI shared task 2018 dataset available for four different languages (i. e., English, German, Spanish, and also French).
no code implementations • SEMEVAL 2021 • Andrei-Marius Avram, George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu
Extracting semantic information on measurements and counts is an important topic in terms of analyzing scientific discourses.
no code implementations • SEMEVAL 2021 • 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.
no code implementations • SEMEVAL 2021 • George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu
Our models are applicable on both subtasks and achieve good performance results, with a MAE below 0. 07 and a Person correlation of . 73 for single word identification, as well as a MAE below 0. 08 and a Person correlation of . 79 for multiple word targets.
no code implementations • SEMEVAL 2021 • 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.
no code implementations • COLING 2020 • Mihai Masala, Stefan Ruseti, Mihai Dascalu
Deep pre-trained language models tend to become ubiquitous in the field of Natural Language Processing (NLP).
no code implementations • NAACL (SMM4H) 2021 • George-Andrei Dima, Dumitru-Clementin Cercel, Mihai Dascalu
This paper presents our contribution to the Social Media Mining for Health Applications Shared Task 2021.
no code implementations • RANLP 2021 • Pierre Frode de la Foret, Stefan Ruseti, Cristian Sandescu, Mihai Dascalu, Sebastien Travadel
Various automated processing pipelines grounded in Natural Language Processing techniques for text classification were introduced for the early identification of vulnerabilities starting from Open-Source Intelligence (OSINT) data, including news websites, blogs, and social media.
no code implementations • ACL 2022 • George-Eduard Zaharia, Răzvan-Alexandru Smădu, Dumitru-Clementin Cercel, Mihai Dascalu
Our model obtains a boost of up to 2. 42% in terms of Pearson Correlation Coefficients in contrast to vanilla training techniques, when considering the CompLex from the Lexical Complexity Prediction 2021 dataset.
1 code implementation • SemEval (NAACL) 2022 • 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 media and the propagation of such messages, as well as their impact.
no code implementations • 30 Dec 2022 • Răzvan-Alexandru Smădu, George-Eduard Zaharia, Andrei-Marius Avram, Dumitru-Clementin Cercel, Mihai Dascalu, Florin Pop
Keyphrase identification and classification is a Natural Language Processing and Information Retrieval task that involves extracting relevant groups of words from a given text related to the main topic.
no code implementations • 28 Sep 2023 • Andrei Paraschiv, Mihai Dascalu
Conspiracy theories have become a prominent and concerning aspect of online discourse, posing challenges to information integrity and societal trust.