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ORCIDIsabel Segura-Bedmar
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2020 – today
- 2024
[c46]Alejandro Pardo Bascuñana, Isabel Segura-Bedmar:
APB-UC3M at eRisk 2024: Natural Language Processing and Deep Learning for the Early Detection of Mental Disorders. CLEF (Working Notes) 2024: 871-880- [c45]Jorge Fernández García, Isabel Segura-Bedmar:
Human After All: Using Transformer Based Models to Identify Automatically Generated Text. IberLEF@SEPLN 2024 - [c44]Paula Sanchez-Checa, Lucía Gallego-Torres, Marco Antonio Sanchez-Escudero, Cosmin Petre, Isabel Segura-Bedmar:
A Transformer and Data Augmentation-based Approach for Propaganda Identification and Classification. IberLEF@SEPLN 2024 - 2023
- [j38]Raúl Giménez de Dios, Isabel Segura-Bedmar:
Ajuste y evaluacíon del modelo DialoGPT sobre distintas colecciones de subtítulos de películas y series de televisión. Proces. del Leng. Natural 70: 63-71 (2023) - [c43]Isabel Segura-Bedmar:
HULAT at SemEval-2023 Task 9: Data Augmentation for Pre-trained Transformers Applied to Multilingual Tweet Intimacy Analysis. SemEval@ACL 2023: 177-183 - [c42]Isabel Segura-Bedmar:
HULAT at SemEval-2023 Task 10: Data Augmentation for Pre-trained Transformers Applied to the Detection of Sexism in Social Media. SemEval@ACL 2023: 184-192 - [c41]Javier Cruz, Lucas Elvira, Miguel Tabernero, Isabel Segura-Bedmar:
In Unity, There Is Strength: On Weighted Voting Ensembles for Hurtful Humour Detection. IberLEF@SEPLN 2023 - [c40]Jorge Luis Saavedra Rubio, Alejandro Valbuena Almeida, Isabel Segura-Bedmar:
UC3M at Da-Vincis-2023: using BETO for Detection of Aggressive and Violent Incidents on Social Networks. IberLEF@SEPLN 2023 - [c39]Brandon Solo, Martha María Del Toro Carballo, Manuel Santiago Fernández-Arias, Isabel Segura-Bedmar:
UC3M at PoliticEs 2023: Applying The Basics. IberLEF@SEPLN 2023 - [c38]Simon Sanchez Viloria, Daniel Peix del Río, Rubén Bermúdez Cabo, Guillermo Arturo Arrojo Fuentes, Isabel Segura-Bedmar:
A Framework for Identifying Depression on Social Media: MentalRiskES@IberLEF 2023. IberLEF@SEPLN 2023 - [i7]Isabel Segura-Bedmar:
HULAT at SemEval-2023 Task 9: Data augmentation for pre-trained transformers applied to Multilingual Tweet Intimacy Analysis. CoRR abs/2302.12794 (2023) - [i6]Simon Sanchez Viloria, Daniel Peix del Río, Rubén Bermúdez Cabo, Guillermo Arturo Arrojo Fuentes, Isabel Segura-Bedmar:
A Framework for Identifying Depression on Social Media: MentalRiskES@IberLEF 2023. CoRR abs/2306.16125 (2023) - 2022
- [j37]Isabel Segura-Bedmar, David Camino-Perdonas, Sara Guerrero-Aspizua:
Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from texts. BMC Bioinform. 23(1): 263 (2022) - [j36]Isabel Segura-Bedmar
, Santiago Alonso-Bartolome:
Multimodal Fake News Detection. Inf. 13(6): 284 (2022) - [j35]Claudia Martínez-de Miguel, Isabel Segura-Bedmar, Esteban Chacón-Solano, Sara Guerrero-Aspizua:
The RareDis corpus: A corpus annotated with rare diseases, their signs and symptoms. J. Biomed. Informatics 125: 103961 (2022) - [c37]Angela Brando-Le-Bihan, Roman Karbushev, Isabel Segura-Bedmar:
UC3M at PAR-MEX@IberLef 2022: From Cosine Distance to Transformer Models for Paraphrase Identification in Mexican Spanish. IberLEF@SEPLN 2022 - [c36]Mario Pérez Enríquez, Javier Alonso Mencía, Isabel Segura-Bedmar:
Transformers Approach for Sentiment Analysis: Classification of Mexican Tourists Reviews from TripAdvisor. IberLEF@SEPLN 2022 - [c35]Álvaro García-Ochoa Martín-Forero, Alejandro Massotti López, Isabel Segura-Bedmar:
UC3MDeep at PoliticEs 2022: Exploring Traditional Machine Learning Algorithms for Political Ideology Detection. IberLEF@SEPLN 2022 - [c34]Santiago Veigas Ramírez, Daniel Martínez Davies, Isabel Segura-Bedmar:
Recommendation System Rest-Mex 2022 for Mexican Tourism Using Natural Language Processing. IberLEF@SEPLN 2022 - 2021
- [j34]Jose Antonio Jijon-Vorbeck, Isabel Segura-Bedmar:
Exploring the Impact of COVID-19 on Social Life by Deep Learning. Inf. 12(11): 459 (2021) - [j33]Isabel Segura-Bedmar, Lucía Ruz, Sara Guerrero-Aspizua:
Evaluación de un modelo transformador aplicado a la tarea de generación de resúmenes en distintos dominios. Proces. del Leng. Natural 66: 27-39 (2021) - [j32]Elsa Scola, Isabel Segura-Bedmar:
Sarcasm Detection with BERT. Proces. del Leng. Natural 67: 13-25 (2021) - [c33]Miguel Ángel Martín-Caro García-Largo, Isabel Segura-Bedmar:
Extracting information from radiology reports by Natural Language Processing and Deep Learning. CLEF (Working Notes) 2021: 804-817 - [c32]Marta Navarrón García, Isabel Segura-Bedmar:
Detecting Offensiveness in Social Network Comments. IberLEF@SEPLN 2021: 288-312 - [i5]Claudia Martínez-de Miguel, Isabel Segura-Bedmar, Esteban Chacón-Solano, Sara Guerrero-Aspizua:
The RareDis corpus: a corpus annotated with rare diseases, their signs and symptoms. CoRR abs/2108.01204 (2021) - [i4]Isabel Segura-Bedmar, David Camino-Perdonas, Sara Guerrero-Aspizua:
Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from texts. CoRR abs/2109.00343 (2021) - [i3]Santiago Alonso-Bartolome, Isabel Segura-Bedmar:
Multimodal Fake News Detection. CoRR abs/2112.04831 (2021) - 2020
- [j31]Cristóbal Colón-Ruiz, Isabel Segura-Bedmar:
Comparing deep learning architectures for sentiment analysis on drug reviews. J. Biomed. Informatics 110: 103539 (2020) - [j30]Antonio Miranda-Escalada, Isabel Segura-Bedmar:
One stage versus two stages deep learning approaches for the extraction of drug-drug interactions from texts. Proces. del Leng. Natural 64: 69-76 (2020) - [c31]Gema de Vargas Romero, Isabel Segura-Bedmar:
Exploring Deep Learning for Named Entity Recognition of Tumor Morphology Mentions. IberLEF@SEPLN 2020: 396-411
2010 – 2019
- 2019
- [j29]Isabel Segura-Bedmar, Pablo Raez:
Cohort selection for clinical trials using deep learning models. J. Am. Medical Informatics Assoc. 26(11): 1181-1188 (2019) - [j28]Víctor Suárez-Paniagua, Renzo M. Rivera Zavala, Isabel Segura-Bedmar, Paloma Martínez:
A two-stage deep learning approach for extracting entities and relationships from medical texts. J. Biomed. Informatics 99 (2019) - [j27]Cristóbal Colón-Ruiz, Isabel Segura-Bedmar, Paloma Martínez:
Análisis de sentimiento en el dominio salud: analizando comentarios sobre fármacos. Proces. del Leng. Natural 63: 15-22 (2019) - [j26]Rodrigo Alarcón, Lourdes Moreno, Isabel Segura-Bedmar, Paloma Martínez:
Lexical simplification approach using easy-to-read resources. Proces. del Leng. Natural 63: 95-102 (2019) - [c30]Pablo Ráez García Retamero, Isabel Segura-Bedmar:
Early Risk Prediction by means of DeepLearning. CLEF (Working Notes) 2019 - [c29]Lourdes Moreno, Rodrigo Alarcón, Isabel Segura-Bedmar, Paloma Martínez:
Lexical simplification approach to support the accessibility guidelines. Interacción 2019: 14:1-14:4 - [c28]Cristóbal Colón-Ruiz, Isabel Segura-Bedmar:
Hulat-TaskAB at eHealth-KD Challenge 2019: Knowledge Recognition from Health Documents by BiLSTM-CRF. IberLEF@SEPLN 2019: 35-42 - [c27]Cristóbal Colón-Ruiz, Isabel Segura-Bedmar:
Protected Health Information Recognition by BiLSTM-CRF. IberLEF@SEPLN 2019: 679-686 - 2018
- [j25]Víctor Suárez-Paniagua, Isabel Segura-Bedmar:
Evaluation of pooling operations in convolutional architectures for drug-drug interaction extraction. BMC Bioinform. 19-S(8): 39-47 (2018) - [j24]Isabel Segura-Bedmar, Cristóbal Colón-Ruiz, Miguél Ángel Tejedor-Alonso, Mar Moro-Moro:
Predicting of anaphylaxis in big data EMR by exploring machine learning approaches. J. Biomed. Informatics 87: 50-59 (2018) - [c26]Víctor Suárez-Paniagua, Isabel Segura-Bedmar, Akiko Aizawa:
UC3M-NII Team at SemEval-2018 Task 7: Semantic Relation Classification in Scientific Papers via Convolutional Neural Network. SemEval@NAACL-HLT 2018: 793-797 - [c25]Renzo M. Rivera Zavala, Paloma Martínez, Isabel Segura-Bedmar:
A Hybrid Bi-LSTM-CRF Model to Recognition of Disabilities from Biomedical Texts. IberEval@SEPLN 2018: 44-52 - [c24]Renzo M. Rivera Zavala, Paloma Martínez, Isabel Segura-Bedmar:
A Hybrid Bi-LSTM-CRF model for Knowledge Recognition from eHealth documents. TASS@SEPLN 2018: 65-70 - [c23]Víctor Suárez-Paniagua, Isabel Segura-Bedmar, Paloma Martínez:
LABDA at TASS-2018 Task 3: Convolutional Neural Networks for Relation Classification in Spanish eHealth documents. TASS@SEPLN 2018: 71-76 - [c22]Isabel Segura-Bedmar:
LABDA's Early Steps Toward Multimodal Stance Detection. IberEval@SEPLN 2018: 180-186 - 2017
- [j23]Víctor Suárez-Paniagua, Isabel Segura-Bedmar, Paloma Martínez:
Exploring convolutional neural networks for drug-drug interaction extraction. Database J. Biol. Databases Curation 2017: bax019 (2017) - [j22]Isabel Segura-Bedmar, Paloma Martínez:
Simplifying drug package leaflets written in Spanish by using word embedding. J. Biomed. Semant. 8(1): 45:1-45:9 (2017) - [c21]Isabel Segura-Bedmar, Antonio Quirós, Paloma Martínez:
Exploring Convolutional Neural Networks for Sentiment Analysis of Spanish tweets. EACL (1) 2017: 1014-1022 - [c20]Isabel Segura-Bedmar, Cristóbal Colón-Ruiz, Paloma Martínez:
LABDA at SemEval-2017 Task 10: Extracting Keyphrases from Scientific Publications by combining the BANNER tool and the UMLS Semantic Network. SemEval@ACL 2017: 947-950 - [c19]Víctor Suárez-Paniagua, Isabel Segura-Bedmar, Paloma Martínez:
LABDA at SemEval-2017 Task 10: Relation Classification between keyphrases via Convolutional Neural Network. SemEval@ACL 2017: 969-972 - [i2]José L. Martínez, Isabel Segura-Bedmar, Paloma Martínez, Adrian Carruana, Ali Naderi, Conchi Polo:
MC-UC3M Participation at TAC 2017 Adverse Drug Reaction Extraction from Drug Labels. TAC 2017 - 2016
- [j21]Paloma Martínez, José L. Martínez, Isabel Segura-Bedmar, Julián Moreno Schneider, Adrián Luna, Ricardo Revert:
Turning user generated health-related content into actionable knowledge through text analytics services. Comput. Ind. 78: 43-56 (2016) - [j20]María Herrero-Zazo, Isabel Segura-Bedmar, Paloma Martínez:
Conceptual models of drug-drug interactions: A summary of recent efforts. Knowl. Based Syst. 114: 99-107 (2016) - [j19]Luis Núñez-Gómez, Isabel Segura-Bedmar, Paloma Martínez Fernández:
EasyLecto: Un sistema de simplificación léxica de efectos adversos presentes en prospectos de fármacos en español. Proces. del Leng. Natural 57: 177-180 (2016) - [c18]Víctor Suárez-Paniagua, Isabel Segura-Bedmar:
Using Recursive Neural Networks to Detect and Classify Drug-Drug Interactions from Biomedical Texts. ECAI 2016: 1666-1667 - [c17]Antonio Quirós, Isabel Segura-Bedmar, Paloma Martínez:
LABDA at the 2016 TASS Challenge Task: Using Word Embeddings for the Sentiment Analysis Task. TASS@SEPLN 2016: 29-33 - [c16]Isabel Segura-Bedmar, Luis Núñez-Gómez, Paloma Martínez Fernández, Maribel Quiroz:
Simplifying Drug Package Leaflets. SMBM 2016: 20-28 - 2015
- [j18]María Herrero-Zazo, Isabel Segura-Bedmar, Janna Hastings, Paloma Martínez:
Application of Domain Ontologies to Natural Language Processing: A Case Study for Drug-Drug Interactions. Int. J. Inf. Retr. Res. 5(3): 19-38 (2015) - [j17]Isabel Segura-Bedmar, Paloma Martínez:
Pharmacovigilance through the development of text mining and natural language processing techniques. J. Biomed. Informatics 58: 288-291 (2015) - [j16]Martin Krallinger, Obdulia Rabal, Florian Leitner, Miguel Vazquez, David Salgado, Zhiyong Lu, Robert Leaman, Yanan Lu, Donghong Ji, Daniel M. Lowe, Roger A. Sayle, Riza Theresa Batista-Navarro, Rafal Rak, Torsten Huber, Tim Rocktäschel, Sérgio Matos, David Campos, Buzhou Tang, Hua Xu, Tsendsuren Munkhdalai, Keun Ho Ryu, S. V. Ramanan, P. Senthil Nathan, Slavko Zitnik, Marko Bajec, Lutz Weber, Matthias Irmer, Saber A. Akhondi, Jan A. Kors, Shuo Xu, Xin An, Utpal Kumar Sikdar, Asif Ekbal, Masaharu Yoshioka, Thaer M. Dieb, Miji Choi, Karin Verspoor, Madian Khabsa, C. Lee Giles, Hongfang Liu, Ravikumar Komandur Elayavilli, Andre Lamurias, Francisco M. Couto, Hong-Jie Dai, Richard Tzong-Han Tsai, Caglar Ata, Tolga Can, Anabel Usie, Rui Alves, Isabel Segura-Bedmar, Paloma Martínez, Julen Oyarzabal, Alfonso Valencia:
The CHEMDNER corpus of chemicals and drugs and its annotation principles. J. Cheminformatics 7(S-1): S2 (2015) - [j15]María Herrero-Zazo, Isabel Segura-Bedmar, Janna Hastings, Paloma Martínez:
DINTO: Using OWL Ontologies and SWRL Rules to Infer Drug-Drug Interactions and Their Mechanisms. J. Chem. Inf. Model. 55(8): 1698-1707 (2015) - [j14]Isabel Segura-Bedmar, Paloma Martínez, Ricardo Revert, Julián Moreno Schneider:
Exploring Spanish health social media for detecting drug effects. BMC Medical Informatics Decis. Mak. 15-S(S-2): S6 (2015) - [c15]Isabel Segura-Bedmar, Víctor Suárez-Paniagua, Paloma Martínez:
Exploring Word Embedding for Drug Name Recognition. Louhi@EMNLP 2015: 64-72 - [c14]Lourdes Moreno, Paloma Martínez, Isabel Segura-Bedmar, Ricardo Revert:
Exploring language technologies to provide support to WCAG 2.0 and E2R guidelines. Interacción 2015: 57:1-57:8 - 2014
- [j13]Isabel Segura-Bedmar, Paloma Martínez, María Herrero-Zazo:
Lessons learnt from the DDIExtraction-2013 Shared Task. J. Biomed. Informatics 51: 152-164 (2014) - [j12]Paloma Martínez, Isabel Segura-Bedmar, Thierry Declerck, José Luis Martínez-Fernández:
TrendMiner: Large-scale Cross-lingual Trend Mining Summarization of Real-time Media Streams. Proces. del Leng. Natural 53: 163-166 (2014) - [j11]Santiago de la Peña, Isabel Segura-Bedmar, Paloma Martínez, José Luis Martínez-Fernández:
ADRSpanishTool: a tool for extracting adverse drug reactions and indications. Proces. del Leng. Natural 53: 177-180 (2014) - [c13]Isabel Segura-Bedmar, Ricardo Revert, Paloma Martínez:
Detecting drugs and adverse events from Spanish social media streams. Louhi@EACL 2014: 106-115 - [c12]Isabel Segura-Bedmar, Santiago de la Peña, Paloma Martínez:
Extracting drug indications and adverse drug reactions from Spanish health social media. BioNLP@ACL 2014: 98-106 - [c11]Lourdes Moreno, Yolanda González, Isabel Segura-Bedmar, Paloma Martínez:
Women in computer science: Survey on the perception of the women's participation in STEM studies. Interacción 2014: 82:1-82:2 - 2013
- [j10]María Herrero-Zazo, Isabel Segura-Bedmar, Paloma Martínez, Thierry Declerck:
The DDI corpus: An annotated corpus with pharmacological substances and drug-drug interactions. J. Biomed. Informatics 46(5): 914-920 (2013) - [j9]César de Pablo-Sánchez, Isabel Segura-Bedmar, Paloma Martínez, Ana Iglesias-Maqueda:
Lightly supervised acquisition of named entities and linguistic patterns for multilingual text mining. Knowl. Inf. Syst. 35(1): 87-109 (2013) - [c10]Daniel Sánchez-Cisneros, Paloma Martínez, Isabel Segura-Bedmar:
Combining dictionaries and ontologies for drug name recognition in biomedical texts. DTMBIO 2013: 27-30 - [c9]Isabel Segura-Bedmar, Paloma Martínez, María Herrero-Zazo:
SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013). SemEval@NAACL-HLT 2013: 341-350 - [c8]María Herrero-Zazo, Janna Hastings, Isabel Segura-Bedmar, Samuel Croset, Paloma Martínez, Christoph Steinbeck:
An Ontology for Drug-drug Interactions. SWAT4LS 2013 - [c7]Daniel Sánchez-Cisneros, Sara Lana-Serrano, Isabel Segura-Bedmar, Leonardo Campillos Llanos, Paloma Martínez Fernández:
A Web Prototype for Detecting Chemical Compounds and Drugs. SWAT4LS 2013 - 2012
- [j8]Daniel Sánchez-Cisneros, Isabel Segura-Bedmar, Paloma Martínez Fernández:
Prototipo buscador de información médica en corpus multilingües y extractor de información sobre fármacos. Proces. del Leng. Natural 49: 209-212 (2012) - 2011
- [j7]Isabel Segura-Bedmar, Paloma Martínez, César de Pablo-Sánchez:
A linguistic rule-based approach to extract drug-drug interactions from pharmacological documents. BMC Bioinform. 12(S-2): S1 (2011) - [j6]Isabel Segura-Bedmar, Paloma Martínez, César de Pablo-Sánchez:
Using a shallow linguistic kernel for drug-drug interaction extraction. J. Biomed. Informatics 44(5): 789-804 (2011) - [c6]Daniel Sánchez-Cisneros, Isabel Segura-Bedmar, Paloma Martínez:
DDIExtractor: A Web-Based Java Tool for Extracting Drug-Drug Interactions from Biomedical Texts. NLDB 2011: 274-277 - 2010
- [j5]Isabel Segura-Bedmar, Mario Crespo, César de Pablo-Sánchez, Paloma Martínez:
Resolving anaphoras for the extraction of drug-drug interactions in pharmacological documents. BMC Bioinform. 11(S-2): 1 (2010) - [j4]Isabel Segura-Bedmar, Paloma Martínez, César de Pablo-Sánchez:
Extracting drug-drug interactions from biomedical texts. BMC Bioinform. 11(S-5): P9 (2010) - [j3]Roxana Dánger, Isabel Segura-Bedmar, Paloma Martínez Fernández, Paolo Rosso:
A comparison of machine learning techniques for detection of drug target articles. J. Biomed. Informatics 43(6): 902-913 (2010)
2000 – 2009
- 2009
- [c5]Isabel Segura-Bedmar, Mario Crespo, César de Pablo-Sánchez, Paloma Martínez:
DrugNerAR: linguistic rule-based anaphora resolver for drug-drug interaction extraction in pharmacological documents. DTMBIO 2009: 19-26 - [c4]Isabel Segura-Bedmar, Mario Crespo, César de Pablo-Sánchez:
Score-Based Approach for Anaphora Resolution in Drug-Drug Interactions Documents. NLDB 2009: 91-102 - [i1]César de Pablo-Sánchez, Juan Perea, Isabel Segura-Bedmar, Paloma Martínez:
The UC3M team at the Knowledge Base Population task. TAC 2009 - 2008
- [j2]Isabel Segura-Bedmar, Paloma Martínez, Doaa Samy:
Detección de fármacos genéricos en textos biomédicos. Proces. del Leng. Natural 40 (2008) - [c3]Isabel Segura-Bedmar, Paloma Martínez, Doaa Samy:
A preliminary approach to extract drugs by combining UMLS resources and USAN naming conventions. BioNLP 2008: 100-101 - 2007
- [c2]Isabel Segura-Bedmar, Doaa Samy, José Luis Martínez-Fernández, Paloma Martínez:
Detecting Semantic Relations Between Nominals Using Support Vector Machines and Linguistic-Based Rules. OTM Workshops (2) 2007: 1267-1273 - [c1]Isabel Segura-Bedmar, Doaa Samy, José L. Martínez:
UCM3: Classification of Semantic Relations between Nominals using Sequential Minimal Optimization. SemEval@ACL 2007: 382-385 - 2006
- [j1]Isabel Segura-Bedmar, José Luis Martínez-Fernández, Paloma Martínez:
Una Propuesta para el Etiquetado Automático de Roles Semánticos. Proces. del Leng. Natural 37 (2006)
Coauthor Index
Paloma Martínez
aka: Paloma Martínez Fernández
aka: Paloma Martínez Fernández
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