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LaBDA
Isabel Segura Bedmar

Grupo Labda

Publicaciones

Journals | Conferences | Books | Invited sessions conferences

Journals

  • Victor Suarez-Paniagua, Isabel Segura-Bedmar, Paloma Martínez, (2017). Exploring Convolutional Neural Networks for Drug-Drug Interaction Extraction, Database The Journal of Biological Databases and Curation, January, 2017, ISSN: 1758-0463, Volume 2017, 1, url.

  • Paloma Martínez, José Luis Martínez Fernández, Isabel Segura-Bedmar, Julián Moreno-Schneider, Ricardo Revert , Adrián Luna, (2016). Turning user generated health-related content into actionable knowledge through text analytics services, May, 2016, Computers in Industry, JCR Impact Factor (2015): 1,685, Q2, 78, doi:10.1016/j.compind.2015.10.006, pp: 43-56, url.

  • María Herrero Zazo, Isabel Segura-Bedmar, Paloma Martínez, (2016). Conceptual Models of Drug-Drug Interactions: A Summary of Recent Efforts, December, 2016, Knowledge-Based Systems, JCR Science, Impact Factor (2015): 3.325, Q1 , Elsevier, ISSN: 0950-7051, 114, pp: 99-107, url.

  • Isabel Segura-Bedmar, Paloma Martínez, Ricardo Revert , Julián Moreno-Schneider, (2015). Exploring Spanish Health Social Media for detecting drug effects, June, 2015, BMC Medical Informatics and Decision Making, JCR Impact Factor (2015): 2.042, Q2, 15, Supplement S2, pp: doi:10.1186/1472-6947-15-S2-S6, url.

  • María Herrero Zazo, Isabel Segura-Bedmar, Janna Hastings, Paloma Martínez, (2015). DINTO: Using OWL ontologies and SWRL rules to infer drug-drug interactions and their mechanisms (DOI: 10.1021/acs.jcim.5b00119), June, 2015, Journal of Chemical Information and Modeling (JCR Science, Impact Factor (2014): 3,738, Area: Computer Science, Information Systems, Rank: 7/139, Q1), ACS , url.

  • María Herrero Zazo, Isabel Segura-Bedmar, Janna Hastings, Paloma Martínez, (2015). Application of Domain Ontologies to Natural Language Processing: A Case Study for Drug-Drug Interactions, DOI: 10.4018/IJIRR.2015070102;, June, 2015, International Journal of Information Retrieval Research (IJIRR), 5, 3, url.

  • Isabel Segura-Bedmar, Paloma Martínez, (2015). Pharmacovigilance through the Development of Text Mining and Natural Language Processing Techniques, December, 2015, Journal of Biomedical Informatics (JCR Science, Impact Factor (2014): 2,194, Area: Computer Science, Interdisciplinary Applications, Rank: 21/102, Q1),, Elsevier, 58, pp: 288-291, url.

  • Isabel Segura-Bedmar, Paloma Martínez, María Herrero Zazo, (2014). Lessons learnt from the DDIExtraction-2013 shared task, January, 2014, Journal of Biomedical Informatics (JCR Science, Impact Factor (2014): 2,194, Area: Computer Science, Interdisciplinary Applications, Rank: 21/102, Q1), Elsevier, 51, pp: 152-164, url.

  • Santiago Peña-González, Isabel Segura-Bedmar, Paloma Martínez, José Luis Martínez Fernández, (2014). ADRSpanishTool: a tool for extracting adverse drug reactions and indications, September, 2014, Procesamiento del Lenguaje Natural, 53, pp: 177-180, url.

  • Paloma Martínez, Isabel Segura-Bedmar, Thierry Declerck, José Luis Martínez Fernández, (2014). TrendMiner: Large-scale Cross-lingual Trend Mining Summarization of Realtime Media Streams, September, 2014, Procesamiento del Lenguaje Natural , 53, pp: 163-166, url.

  • Isabel Segura-Bedmar, Paloma Martínez, (2014). Special Issue on Mining the Pharmacovigilance Literature, Journal of Biomedical Informatics (JCR Science, Impact Factor (2014): 2,194, Area: Computer Science, Interdisciplinary Applications, Rank: 21/102, Q1), June, 2014, 49, pp: 1-2, url.

  • César de Pablo-Sánchez, Isabel Segura-Bedmar, Paloma Martínez, Ana Iglesias, (2013). Lightly supervised acquisition of named entities and linguistic patterns for multilingual text mining, April, 2013, Knowledge and Information Systems Journal (JCR Science, Impact Factor (2013): 2,639, Area: Computer Science, Artificial Intelligence, Rank: 21/121, Q1), Springer London, 35, 1, pp: 87-109, url.

  • María Herrero Zazo, Isabel Segura-Bedmar, Paloma Martínez, Thierry Declerck, (2013). The DDI corpus: An annotated corpus with pharmacological substances and drug-drug interactions, Journal of Biomedical Informatics (JCR Science, Impact Factor (2013): 2.482, Area: Computer Science, Interdisciplinary Applications, Rank: 17/102, 1er Cuartil)., October, 2013, 46, 5 , pp: 914-920, url, url, url.

  • María Herrero Zazo, Isabel Segura-Bedmar, Paloma Martínez, (2013). Annotation Issues in Pharmacological Texts, Procedia - Social and Behavioral Sciences, November, 2013, 95, pp: 211-219, url.

  • Daniel Sanchez-Cisneros, Sara Lana Serrano, Antonio Moreno, Leonardo Campillos Llanos, Paloma Martínez, Isabel Segura-Bedmar, (2012). Medical information search and information extraction about drugs prototype on a multilingual corpus., Revista Española para el Procesamiento Lenguaje Natural, September, 2012, 49, pp: 209-212, url.

  • Isabel Segura-Bedmar, Paloma Martínez, César de Pablo-Sánchez, (2011). A linguistic rule-based approach to extract drug-drug interactions from pharmacological documents, March, 2011, BMC BioInformatics (JCR Science, Impact Factor (2011): 2,751, Area: Mathematical & Computacional Biology, Rank: 7/47, Q1), ISSN: 1471-2105, 12(Suppl 2):S1, url.

  • Isabel Segura-Bedmar, Paloma Martínez, César de Pablo-Sánchez, (2011). Using a Shallow Linguistic Kernel for Drug-Drug Interaction Extraction, October, 2011, Journal of Biomedical Informatics (JCR Science, Impact Factor (2011): 1,792, Area: Computer Science, Interdisciplinary Applications, Rank: 30/99, Q2), , Volume 44, Issue 5, pp: 789 - 804, url.

  • Isabel Segura-Bedmar, Paloma Martínez, César de Pablo-Sánchez, (2010). Extracting drug-drug interactions from biomedical texts., May, 2010, BMC BioInformatics (JCR Science, Impact Factor (2010): 3,029, Area: Mathematical & Computacional Biology, Rank: 4/37, Q1), ISSN: 1471-2105, 11, Suppl 5, url.

  • Isabel Segura-Bedmar, Mario Crespo, César de Pablo-Sánchez, Paloma Martínez, (2010). Resolving anaphoras for the extraction of drug-drug interactions in pharmacological documents. , April, 2010, BMC BioInformatics (JCR Science, Impact Factor (2010): 3,029, Area: Mathematical & Computacional Biology, Rank: 4/37, Q1), ISSN: 1471-2105, 11, (Suppl 2), url.

  • Roxana Danger, Isabel Segura-Bedmar, Paloma Martínez, Paolo Rosso, (2010). A comparison of machine learning techniques for detection of drug target articles, December, 2010, Journal of Biomedical Informatics (JCR Science, Impact Factor (2010): 1,724, Area: Computer Science, Interdisciplinary Applications, Rank: 27/97, Q2). , 43, Issue 6, pp: 902-913, url.

  • Isabel Segura-Bedmar, Paloma Martínez, María Segura-Bedmar, (2008). Drug Name Recognition and classification in biomedical texts. , September, 2008, Drug Discovery Today (JCR Science, Impact Factor (2008): 6,618, Area: Pharmacology & Pharmacy, Rank: 11/219, Q1). , 13, 17-18, pp: 816-823, url.

  • Isabel Segura-Bedmar, Paloma Martínez, Doaa Samy, (2008). Detección de fármacos genéricos en textos biomédicos., March, 2008, Revista Española para el procesamiento del lenguaje natural (SEPLN), ISSN: 1135-5948, 40, pp: 27-34, pdf.

  • Isabel Segura-Bedmar, (2007). Using Semantic Relations to Improve Question Answering., July, 2007, Informer, BCS Information Retrieval, ISSN: 0950-4974, 23, pp: 8-10, pdf.

  • Isabel Segura-Bedmar, José Luis Martínez Fernández, Paloma Martínez, (2006). Una Propuesta para el Etiquetado Automático de Roles Semánticos., Zaragoza, España, September, 2006, Proceedings del XXII Congreso de la Sociedad Española de Procesamiento del Lenguaje Natural (SEPLN), pp: 309-316, pdf.

Conferences

  • Isabel Segura-Bedmar, Antonio Quiros, Paloma Martínez, (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:, Valencia, Spain, April, 2017, Association for Computational Linguistics, Volume 1, Long Papers, pp: 1014-1022, (Core A), url.

  • Victor Suarez-Paniagua, Isabel Segura-Bedmar, Paloma Martínez, (2017). LABDA at SemEval-2017 Task 10: Relation Classification between keyphrases via Convolutional Neural Network, Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval), Vancouver, Canada, August, 2017, Association for Computational Linguistics, pp: 938-941, pdf.

  • Cristobal Colon, Isabel Segura-Bedmar, Paloma Martínez, (2017). Combining the BANNER tool with the DINTO ontology for the CEMP task of BioCreative V.5., BioCreative, Barcelona, España, April, 2017, Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, pp: 104-107, pdf.

  • Isabel Segura-Bedmar, Cristobal Colon, Paloma Martínez, (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 Evaluations (SemEval), Vancouver, Canada, August, 2017, Association for Computational Linguistics, pp: 938-941, pdf.

  • Isabel Segura-Bedmar, Luis Fabricio Núñez Gómez, Paloma Martínez, (2016). Simplifying Drug Package Leaflets, Proceedings of the 7th International Symposium on Semantic Mining in Biomedicine, Postdam, Germany, August, 2016, CEUR Proceedings Vol 1650, pp: 20-28, pdf.

  • Luis Fabricio Núñez Gómez, Isabel Segura-Bedmar, Paloma Martínez, (2016). EasyLecto: Un sistema de simplificación léxica de efectos adversos presentes en prospectos de fármacos en español., Revista Procesamiento del Lenguaje Natural , September, 2016, 57, pp: 177-180, url.

  • Isabel Segura-Bedmar, Adrián Carruana Martín, Paloma Martínez, (2016). LABDA at the 2016 BioASQ challenge task 4a: Semantic Indexing by using ElasticSearch, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, Berlin, Germany, August, 2016, Association for Computational Linguistics, pp: 16-22, pdf.

  • Victor Suarez-Paniagua, Isabel Segura-Bedmar, (2016). Using Recursive Neural Networks to detect and classify drug-drug interactions from biomedical texts, 22nd European Conference on Artificial Intelligence (ECAI 2016), The Hague, Holland, August, 2016, url.

  • Victor Suarez-Paniagua, Isabel Segura-Bedmar, (2016). Extraction of Drug-Drug Interactions by Recursive Matrix-Vector Spaces, 6th International Workshop on Combinations of Intelligent Methods and Applications, The Hague, Holland, August, 2016, url.

  • Antonio Quiros, Isabel Segura-Bedmar, Paloma Martínez, (2016). LABDA at the 2016 TASS challenge task: using word embeddings for the sentiment analysis task, 5th Evaluation Workshop for Sentiment Analysis focused on Spanish. TASS 2016, September, 2016, pdf.

  • Lourdes Moreno, Paloma Martínez, Isabel Segura-Bedmar, Ricardo Revert , (2015). Exploring language technologies to provide support to WCAG 2.0 and E2R guidelines, Proceedings of the XVI International Conference on Human Computer Interaction (Interacción '15), September, 2015, DOI:http://dx.doi.org/10.1145/2829875.2829927, ACM, Article 57, pp: 8 pages, url.

  • Isabel Segura-Bedmar, Victor Suarez-Paniagua, Paloma Martínez, (2015). Exploring Word Embedding for Drug Name Recognition, Sixth Workshop on Health Text Mining and Information Analysis, Lisboa, Portugal, September, 2015, pdf.

  • Isabel Segura-Bedmar, Victor Suarez-Paniagua, Paloma Martínez, (2015). Combining Conditional Random Fields and Word Embeddings for the CHEMDNER-patents task, Proceedings of the Fifth BioCreative Challenge Evaluation Workshop (BIOCREATIVE V), Sevilla, September, 2015, pdf.

  • Victor Suarez-Paniagua, Isabel Segura-Bedmar, Paloma Martínez, (2015). Word Embedding clustering for Disease Named Entity Recognition, Proceedings of the Fifth BioCreative Challenge Evaluation Workshop (BIOCREATIVE V),, Sevilla, Spain, September, 2015, pdf.

  • Isabel Segura-Bedmar, Ricardo Revert , Paloma Martínez, (2014). Detecting drugs and adverse events from Spanish social media streams, Gothenburg, Sweden, April, 2014, Proceedings of the 5th International Workshop on Health Text Mining and Information Analysis (Louhi), Association for Computational Linguistics, pp: 106-115, pdf.

  • Isabel Segura-Bedmar, Santiago Peña-González, Paloma Martínez, (2014). Extracting drug indications and adverse drug reactions from Spanish health social media, Proceedings of the BioNLP 2014 workshop, USA, June, 2014, Association for Computational Linguistics, pp: 98-106, pdf.

  • Lourdes Moreno, Yolanda González-Maroto, Isabel Segura-Bedmar, Paloma Martínez, (2014). Women in computer science: Survey on the perception of the women's participation in STEM studies, INTERACCION 2014. XV International Conference on Human Computer Interaction, Puerto de la Cruz, Tenerife, Spain, September, 2014, Interacción '14 Proceedings of the XV International Conference on Human Computer Interaction, ACM New York, ISBN: 978-1-4503-28, 82, url.

  • María Herrero Zazo, Isabel Segura-Bedmar, Paloma Martínez, (2013). Corpus DDI: Un corpus anotado con fármacos e interacciones farmacológicas., V International Conference on Corpus Linguistics, Alicante, España, March, 2013.

  • María Herrero Zazo, Isabel Segura-Bedmar, Paloma Martínez, (2013). An Ontology for formal representation of Drug Drug Interaction Knowledge, 6th International Biocuration Conference , BIOCURATION 2013, Cambridge, UK, April, 2013.

  • Isabel Segura-Bedmar, Paloma Martínez, María Herrero Zazo, (2013). SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013),, Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013),, Atlanta, USA, June, 2013, Association for Computational Linguistics, pp: 341--350, url.

  • Sara Lana Serrano, Daniel Sanchez-Cisneros, Leonardo Campillos Llanos, Isabel Segura-Bedmar, (2013). Recognizing Chemical Compounds and Drugs: a Rule-Based Approach Using Semantic Information., Fourth BioCreative Challenge Evaluation Workshop, Bethesda, Maryland, USA, October, 2013, Proceedings of the Fourth BioCreative Challenge Evaluation Workshop, vol. 2., pp: 121, pdf.

  • Daniel Sanchez-Cisneros, Paloma Martínez, Isabel Segura-Bedmar, (2013). Combining Dictionaries and Ontologies for Drug Name Recognition in Biomedical Texts, The Seventh International Workshop on Data and Text Mining in Biomedical Informatics, San Francisco, California, USA, November, 2013, Proceedings of the Seventh International Workshop on Data and Text Mining in Biomedical Informatics, ACM 978-1-4503-2419-9/13/11, url.

  • Daniel Sanchez-Cisneros, Sara Lana Serrano, Isabel Segura-Bedmar, Leonardo Campillos Llanos, Paloma Martínez, (2013). A web prototype for detecting chemical compounds and drugs. , Semantic Web Applications and tools for life sciences (SWAT4LS) Workshop, Edinburgh, United Kingdom, December, 2013, A web prototype for detecting chemical compounds and drugs, pdf.

  • María Herrero Zazo, Janna Hastings, Isabel Segura-Bedmar, Samuel Croset, Paloma Martínez, Christoph Steinbeck, (2013). An ontology for drug-drug interactions, Semantic Web Applications and tools for life sciences (SWAT4LS) Workshop, Edimburg, United Kingdom, December, 2013, pdf.

  • Daniel Sanchez-Cisneros, Isabel Segura-Bedmar, Paloma Martínez, (2011). DDIExtractor: A web-based java tool for extracting Drug-Drug Interactions from biomedical texts., NLDB 2011 (16th international conference on applications of natural language to information system), Alicante, España, June, 2011, Lecture Notes in Computer Science, 2011, 6716, pp: 4, url.

  • Isabel Segura-Bedmar, Paloma Martínez, Daniel Sanchez-Cisneros, (2011). The 1st DDIExtraction-2011 Challenge Task: Extraction of Drug-Drug Interactions from Biomedical Texts , Huelva, September, 2011, Proceedings of the 1st Challenge Task on Drug-Drug Interaction Extraction 2011, 761, pp: 1-9, url.

  • Isabel Segura-Bedmar, Mario Crespo, César de Pablo-Sánchez, Paloma Martínez, (2010). Score-based approach for Anaphora Resolution in Drug-Drug Interactions Documents, April, 2010, Natural Language Processing and Information Systems, Springer Berlin / Heidelberg, ISBN: 978-3-642-125, ISSN: 0302-9743, 5723/2010, pp: 91-102, url.

  • Isabel Segura-Bedmar, Paloma Martínez, César de Pablo-Sánchez, (2010). Combining syntactic information and domain-specific lexical patterns to extract Drug-Drug Interactions from biomedical texts., Toronto, Canada, October, 2010, ACM Fourth International Workshop on Data and Text Mining in Bioinformatics (DTMBIO 10)., ACM.

  • Isabel Segura-Bedmar, Mario Crespo, César de Pablo-Sánchez, Paloma Martínez, (2009). DrugNerAR: Linguistic Rule-Based Anaphora Resolver for Drug-Drug Interaction Extraction in Pharmacological Documents, Hong Kong, China, October, 2009, Proceeding of the ACM Third International Workshop on Data and Text Mining in Bioinformatics, ACM, ISBN: 978-1-60558-8, url.

  • Roxana Danger, Isabel Segura-Bedmar, Paloma Martínez, Paolo Rosso, (2009). Detecting Drug-Target articles by NLP Techniques., Colmenarejo, España, February, 2009, II Jornadas PLN-TIMM, pp: 85-88.

  • Sergio Aparicio, Isabel Segura-Bedmar, (2009). Resolución de expresiones anafóricas en textos biomédicos., Colmenarejo, España, February, 2009, III Jornadas PLN-TIMM, pp: 47-48.

  • César de Pablo-Sánchez, Juan Ignacio Perea Moraleda, Isabel Segura-Bedmar, Paloma Martínez, (2009). The UC3M team at the Knowledge Base Population task, Working Notes of the Text Analysis Conference (TAC 2009), November, 2009, pdf.

  • Isabel Segura-Bedmar, Paloma Martínez, Doaa Samy, (2008). A preliminary approach to recognize generic drug names by combining UMLS resources and USAN naming conventions., Ohio, USA, June, 2008, Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing (BioNLP), Association for Computational Linguistics, ISBN: 978-1-932432-, pp: 100-101, pdf.

  • Isabel Segura-Bedmar, Doaa Samy, José Luis Martínez Fernández, Paloma Martínez, (2007). Detecting Semantic Relations between Nominals using Support Vector Machines and Linguistic-Based Rules, Portugal, November, 2007, On the Move to Meaningful Internet Systems 2007: OTM 2007 Workshops, Springer Berlin / Heidelberg, ISBN: 978-3-540-768, ISSN: 0302-9743, pp: 1267-1273, url.

  • Isabel Segura-Bedmar, Doaa Samy, José Luis Martínez Fernández, (2007). UC3M: Classification of Semantic Relations between Nominals using Sequential Minimal Optimization, Praga, Republica Checa, January, 2007, Proceedings of the 4th International Workshop on Semantic Evaluations (SEMEVAL), Association for Computational Linguistics, pp: 382-385 , pdf.

  • Isabel Segura-Bedmar, José Luis Martínez Fernández, Paloma Martínez, (2006). Including deeper semantic information in the Lexical Markup Framework: a proposal., Lubjana, Eslovenia, October, 2006, Fifth Slovenian and First International Language Technologies Conference, IS-LTC 2006., pdf.

Books

  • Dolores Cuadra, Elena Castro, Ana Iglesias, Paloma Martínez, Francisco Javier Calle, César de Pablo-Sánchez, Harith Aljumaily, Lourdes Moreno, Sonia García Manzano, José Luis Martínez Fernández, Jesica Rivero-Espinosa, Isabel Segura-Bedmar, (2013). Desarrollo de Bases de Datos: casos prácticos desde el análisis a la implementación, 2ª Edición Actualizada, January, 2013, RA-MA, url.

  • Isabel Segura-Bedmar, Paloma Martínez, Daniel Sanchez-Cisneros, (2011). Proceedings of the 1st Challenge Task on Drug-Drug Interaction Extraction 2011 , September, 2011, Proceedings of the 1st Challenge Task on Drug-Drug Interaction Extraction 2011 , url.

  • Isabel Segura-Bedmar, (2011). Application of Information Extraction techniques to pharmalogical domain: Extracting drug-drug interactions, September, 2011, Monografías SEPLN 2010, L. Alfonso Ureña y Emilio Sánchis, ISBN: 978-84-694-53.

Invited sessions conferences

  • Isabel Segura-Bedmar, Paloma Martínez, (2011). Lessons from the Drug-Drug Interaction Extraction Task, October, 2011.

  • Isabel Segura-Bedmar, César de Pablo-Sánchez, (2009). Extracting drug-drug interactions from pharmacological texts, Saarbrucken, Alemania, September, 2009, Forum Entwicklung und Anwendung von Sprach-Technologien (FEAST), url.

Universidad Carlos III de Madrid