1 code implementation • 28 Jun 2023 • Simon Sanchez Viloria, Daniel Peix del Río, Rubén Bermúdez Cabo, Guillermo Arturo Arrojo Fuentes, Isabel Segura-Bedmar
This paper describes our participation in the MentalRiskES task at IberLEF 2023.
1 code implementation • 24 Feb 2023 • Isabel Segura-Bedmar
This paper describes our participation in SemEval-2023 Task 10, whose goal is the detection of sexism in social media.
1 code implementation • 24 Feb 2023 • Isabel Segura-Bedmar
During the development phase, our best results were obtained by using XLM-T. Data augmentation techniques provide a very slight improvement in the results.
no code implementations • 9 Dec 2021 • Santiago Alonso-Bartolome, Isabel Segura-Bedmar
Some fake news categories such as Manipulated content, Satire or False connection strongly benefit from the use of images.
2 code implementations • 1 Sep 2021 • Isabel Segura-Bedmar, David Camino-Perdonas, Sara Guerrero-Aspizua
The paper explores the use of several deep learning techniques such as Bidirectional Long Short Term Memory (BiLSTM) networks or deep contextualized word representations based on Bidirectional Encoder Representations from Transformers (BERT) to recognize rare diseases and their clinical manifestations (signs and symptoms) in the RareDis corpus.
3 code implementations • 2 Aug 2021 • Claudia Martínez-deMiguel, Isabel Segura-Bedmar, Esteban Chacón-Solano, Sara Guerrero-Aspizua
The RareDis corpus contains more than 5, 000 rare diseases and almost 6, 000 clinical manifestations are annotated.
no code implementations • SEMEVAL 2018 • V{\'\i}ctor Su{\'a}rez-Paniagua, Isabel Segura-Bedmar, Akiko Aizawa
This paper reports our participation for SemEval-2018 Task 7 on extraction and classification of relationships between entities in scientific papers.
no code implementations • SEMEVAL 2017 • Isabel Segura-Bedmar, Crist{\'o}bal Col{\'o}n-Ruiz, Paloma Mart{\'\i}nez
For the task of identification, we use the BANNER tool, a named entity recognition system, which is based on conditional random fields (CRF) and has obtained successful results in the biomedical domain.
no code implementations • SEMEVAL 2017 • V{\'\i}ctor Su{\'a}rez-Paniagua, Isabel Segura-Bedmar, Paloma Mart{\'\i}nez
In this paper, we describe our participation at the subtask of extraction of relationships between two identified keyphrases.
no code implementations • EACL 2017 • Isabel Segura-Bedmar, Antonio Quir{\'o}s, Paloma Mart{\'\i}nez
Spanish is the third-most used language on the internet, after English and Chinese, with a total of 7. 7{\%} (more than 277 million of users) and a huge internet growth of more than 1, 400{\%}.