1 citations · 2 across the 7 of their papers we have counts for
7 papers
AI-generated Text Detection with a GLTR-based Approach
Lucía Yan Wu, Isabel Segura-Bedmar
The rise of LLMs (Large Language Models) has contributed to the improved performance and development of cutting-edge NLP applications. However, these can also pose risks when used…
A Framework for Identifying Depression on Social Media: MentalRiskES@IberLEF 2023
Simon Sanchez Viloria, Daniel Peix del Río, Rubén Bermúdez Cabo +2
This paper describes our participation in the MentalRiskES task at IberLEF 2023. The task involved predicting the likelihood of an individual experiencing depression based on their…
HULAT at SemEval-2023 Task 10: Data augmentation for pre-trained transformers applied to the detection of sexism in social media
Isabel Segura-Bedmar
This paper describes our participation in SemEval-2023 Task 10, whose goal is the detection of sexism in social media. We explore some of the most popular transformer models such a…
HULAT at SemEval-2023 Task 9: Data augmentation for pre-trained transformers applied to Multilingual Tweet Intimacy Analysis
Isabel Segura-Bedmar
This paper describes our participation in SemEval-2023 Task 9, Intimacy Analysis of Multilingual Tweets. We fine-tune some of the most popular transformer models with the training…
Multimodal Fake News Detection
Santiago Alonso-Bartolome, Isabel Segura-Bedmar
Over the last years, there has been an unprecedented proliferation of fake news. As a consequence, we are more susceptible to the pernicious impact that misinformation and disinfor…
Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from texts
Isabel Segura-Bedmar, David Camino-Perdonas, Sara Guerrero-Aspizua
Although rare diseases are characterized by low prevalence, approximately 300 million people are affected by a rare disease. The early and accurate diagnosis of these conditions is…
The RareDis corpus: a corpus annotated with rare diseases, their signs and symptoms
Claudia Martínez-deMiguel, Isabel Segura-Bedmar, Esteban Chacón-Solano +1
The RareDis corpus contains more than 5,000 rare diseases and almost 6,000 clinical manifestations are annotated. Moreover, the Inter Annotator Agreement evaluation shows a relativ…