Isabel Segura-Bedmar

Orcid: 0000-0002-7810-2360

According to our database1, Isabel Segura-Bedmar authored at least 83 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Ajuste y evaluacíon del modelo DialoGPT sobre distintas colecciones de subtítulos de películas y series de televisión.
Proces. del Leng. Natural, 2023

A Framework for Identifying Depression on Social Media: MentalRiskES@IberLEF 2023.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

UC3M at PoliticEs 2023: Applying The Basics.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

UC3M at Da-Vincis-2023: using BETO for Detection of Aggressive and Violent Incidents on Social Networks.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

In Unity, There Is Strength: On Weighted Voting Ensembles for Hurtful Humour Detection.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

HULAT at SemEval-2023 Task 10: Data Augmentation for Pre-trained Transformers Applied to the Detection of Sexism in Social Media.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

HULAT at SemEval-2023 Task 9: Data Augmentation for Pre-trained Transformers Applied to Multilingual Tweet Intimacy Analysis.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

2022
The RareDis corpus: A corpus annotated with rare diseases, their signs and symptoms.
J. Biomed. Informatics, 2022

Multimodal Fake News Detection.
Inf., 2022

Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from texts.
BMC Bioinform., 2022

Recommendation System Rest-Mex 2022 for Mexican Tourism Using Natural Language Processing.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), 2022

UC3MDeep at PoliticEs 2022: Exploring Traditional Machine Learning Algorithms for Political Ideology Detection.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), 2022

Transformers Approach for Sentiment Analysis: Classification of Mexican Tourists Reviews from TripAdvisor.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), 2022

UC3M at PAR-MEX@IberLef 2022: From Cosine Distance to Transformer Models for Paraphrase Identification in Mexican Spanish.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), 2022

2021
Evaluación de un modelo transformador aplicado a la tarea de generación de resúmenes en distintos dominios.
Proces. del Leng. Natural, 2021

Sarcasm Detection with BERT.
Proces. del Leng. Natural, 2021

Exploring the Impact of COVID-19 on Social Life by Deep Learning.
Inf., 2021

Detecting Offensiveness in Social Network Comments.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2021) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2021), 2021

Extracting information from radiology reports by Natural Language Processing and Deep Learning.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2020
One stage versus two stages deep learning approaches for the extraction of drug-drug interactions from texts.
Proces. del Leng. Natural, 2020

Comparing deep learning architectures for sentiment analysis on drug reviews.
J. Biomed. Informatics, 2020

Exploring Deep Learning for Named Entity Recognition of Tumor Morphology Mentions.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020) co-located with 36th Conference of the Spanish Society for Natural Language Processing (SEPLN 2020), 2020

2019
Análisis de sentimiento en el dominio salud: analizando comentarios sobre fármacos.
Proces. del Leng. Natural, 2019

Lexical simplification approach using easy-to-read resources.
Proces. del Leng. Natural, 2019

A two-stage deep learning approach for extracting entities and relationships from medical texts.
J. Biomed. Informatics, 2019

Cohort selection for clinical trials using deep learning models.
J. Am. Medical Informatics Assoc., 2019

Protected Health Information Recognition by BiLSTM-CRF.
Proceedings of the Iberian Languages Evaluation Forum co-located with 35th Conference of the Spanish Society for Natural Language Processing, 2019

Hulat-TaskAB at eHealth-KD Challenge 2019: Knowledge Recognition from Health Documents by BiLSTM-CRF.
Proceedings of the Iberian Languages Evaluation Forum co-located with 35th Conference of the Spanish Society for Natural Language Processing, 2019

Lexical simplification approach to support the accessibility guidelines.
Proceedings of the XX International Conference on Human Computer Interaction, 2019

Early Risk Prediction by means of DeepLearning.
Proceedings of the Working Notes of CLEF 2019, 2019

2018
Predicting of anaphylaxis in big data EMR by exploring machine learning approaches.
J. Biomed. Informatics, 2018

Evaluation of pooling operations in convolutional architectures for drug-drug interaction extraction.
BMC Bioinform., 2018

A Hybrid Bi-LSTM-CRF model for Knowledge Recognition from eHealth documents.
Proceedings of TASS 2018: Workshop on Semantic Analysis at SEPLN, 2018

A Hybrid Bi-LSTM-CRF Model to Recognition of Disabilities from Biomedical Texts.
Proceedings of the Third Workshop on Evaluation of Human Language Technologies for Iberian Languages (IberEval 2018) co-located with 34th Conference of the Spanish Society for Natural Language Processing (SEPLN 2018), 2018

LABDA at TASS-2018 Task 3: Convolutional Neural Networks for Relation Classification in Spanish eHealth documents.
Proceedings of TASS 2018: Workshop on Semantic Analysis at SEPLN, 2018

LABDA's Early Steps Toward Multimodal Stance Detection.
Proceedings of the Third Workshop on Evaluation of Human Language Technologies for Iberian Languages (IberEval 2018) co-located with 34th Conference of the Spanish Society for Natural Language Processing (SEPLN 2018), 2018

UC3M-NII Team at SemEval-2018 Task 7: Semantic Relation Classification in Scientific Papers via Convolutional Neural Network.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

2017
Simplifying drug package leaflets written in Spanish by using word embedding.
J. Biomed. Semant., 2017

Exploring convolutional neural networks for drug-drug interaction extraction.
Database J. Biol. Databases Curation, 2017

MC-UC3M Participation at TAC 2017 Adverse Drug Reaction Extraction from Drug Labels.
Proceedings of the 2017 Text Analysis Conference, 2017

LABDA at SemEval-2017 Task 10: Relation Classification between keyphrases via Convolutional Neural Network.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

LABDA at SemEval-2017 Task 10: Extracting Keyphrases from Scientific Publications by combining the BANNER tool and the UMLS Semantic Network.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Exploring Convolutional Neural Networks for Sentiment Analysis of Spanish tweets.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
EasyLecto: Un sistema de simplificación léxica de efectos adversos presentes en prospectos de fármacos en español.
Proces. del Leng. Natural, 2016

Conceptual models of drug-drug interactions: A summary of recent efforts.
Knowl. Based Syst., 2016

Turning user generated health-related content into actionable knowledge through text analytics services.
Comput. Ind., 2016

Simplifying Drug Package Leaflets.
Proceedings of the 7th International Symposium on Semantic Mining in Biomedicine, 2016

LABDA at the 2016 TASS Challenge Task: Using Word Embeddings for the Sentiment Analysis Task.
Proceedings of TASS 2016: Workshop on Sentiment Analysis at SEPLN co-located with 32nd SEPLN Conference (SEPLN 2016), 2016

Using Recursive Neural Networks to Detect and Classify Drug-Drug Interactions from Biomedical Texts.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015
Exploring Spanish health social media for detecting drug effects.
BMC Medical Informatics Decis. Mak., 2015

DINTO: Using OWL Ontologies and SWRL Rules to Infer Drug-Drug Interactions and Their Mechanisms.
J. Chem. Inf. Model., 2015

The CHEMDNER corpus of chemicals and drugs and its annotation principles.
J. Cheminformatics, 2015

Pharmacovigilance through the development of text mining and natural language processing techniques.
J. Biomed. Informatics, 2015

Application of Domain Ontologies to Natural Language Processing: A Case Study for Drug-Drug Interactions.
Int. J. Inf. Retr. Res., 2015

Exploring language technologies to provide support to WCAG 2.0 and E2R guidelines.
Proceedings of the XVI International Conference on Human Computer Interaction, 2015

Exploring Word Embedding for Drug Name Recognition.
Proceedings of the Sixth International Workshop on Health Text Mining and Information Analysis, 2015

2014
ADRSpanishTool: a tool for extracting adverse drug reactions and indications.
Proces. del Leng. Natural, 2014

TrendMiner: Large-scale Cross-lingual Trend Mining Summarization of Real-time Media Streams.
Proces. del Leng. Natural, 2014

Lessons learnt from the DDIExtraction-2013 Shared Task.
J. Biomed. Informatics, 2014

Women in computer science: Survey on the perception of the women's participation in STEM studies.
Proceedings of the XV International Conference on Human Computer Interaction, 2014

Extracting drug indications and adverse drug reactions from Spanish health social media.
Proceedings of BioNLP, Baltimore, Maryland, USA, 2014

Detecting drugs and adverse events from Spanish social media streams.
Proceedings of the 5th International Workshop on Health Text Mining and Information Analysis, 2014

2013
Lightly supervised acquisition of named entities and linguistic patterns for multilingual text mining.
Knowl. Inf. Syst., 2013

The DDI corpus: An annotated corpus with pharmacological substances and drug-drug interactions.
J. Biomed. Informatics, 2013

A Web Prototype for Detecting Chemical Compounds and Drugs.
Proceedings of the 6th International Workshop on Semantic Web Applications and Tools for Life Sciences, 2013

An Ontology for Drug-drug Interactions.
Proceedings of the 6th International Workshop on Semantic Web Applications and Tools for Life Sciences, 2013

SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013).
Proceedings of the 7th International Workshop on Semantic Evaluation, 2013

Combining dictionaries and ontologies for drug name recognition in biomedical texts.
Proceedings of the Proceeding of the 7rd International Workshop on Data and Text Mining in Bioinformatics, 2013

2012
Prototipo buscador de información médica en corpus multilingües y extractor de información sobre fármacos.
Proces. del Leng. Natural, 2012

2011
Using a shallow linguistic kernel for drug-drug interaction extraction.
J. Biomed. Informatics, 2011

A linguistic rule-based approach to extract drug-drug interactions from pharmacological documents.
BMC Bioinform., 2011

DDIExtractor: A Web-Based Java Tool for Extracting Drug-Drug Interactions from Biomedical Texts.
Proceedings of the Natural Language Processing and Information Systems, 2011

2010
A comparison of machine learning techniques for detection of drug target articles.
J. Biomed. Informatics, 2010

Extracting drug-drug interactions from biomedical texts.
BMC Bioinform., 2010

Resolving anaphoras for the extraction of drug-drug interactions in pharmacological documents.
BMC Bioinform., 2010

2009
The UC3M team at the Knowledge Base Population task.
Proceedings of the Second Text Analysis Conference, 2009

Score-Based Approach for Anaphora Resolution in Drug-Drug Interactions Documents.
Proceedings of the Natural Language Processing and Information Systems, 2009

DrugNerAR: linguistic rule-based anaphora resolver for drug-drug interaction extraction in pharmacological documents.
Proceedings of the Proceeding of the 3rd International Workshop on Data and Text Mining in Bioinformatics, 2009

2008
Detección de fármacos genéricos en textos biomédicos.
Proces. del Leng. Natural, 2008

A preliminary approach to extract drugs by combining UMLS resources and USAN naming conventions.
Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing, 2008

2007
UCM3: Classification of Semantic Relations between Nominals using Sequential Minimal Optimization.
Proceedings of the 4th International Workshop on Semantic Evaluations, 2007

Detecting Semantic Relations Between Nominals Using Support Vector Machines and Linguistic-Based Rules.
Proceedings of the On the Move to Meaningful Internet Systems 2007: OTM 2007 Workshops, 2007

2006
Una Propuesta para el Etiquetado Automático de Roles Semánticos.
Proces. del Leng. Natural, 2006


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