Dr. Yoan Gutiérrez is a researcher at the University of Alicante, Spain. He has produced more than 60 scientific publications in journals and important international congresses, as well as more than seven software licenses transferred to industry. His research has been mainly focused on the semantic analysis of human language, development of semantic resources and their applications in other tasks such as opinion mining and automatic generation of knowledge. He has been involved in at least six research projects, i.e. Nationals and Europeans (i.e. SAM [FP7-611312]). He has been a member of organizing committees of congresses and scientific committees of several events such as: SEPLN 2015, eHealth-KD 2018, eHealth-KD 2019 and others.
His most recent researches are focussed on designing and developing Knowledge Discovery and Representation strategies: I) embedding semantic information into Artificial Neural Networks (ANNs), i.e., designing Semantic Neural Networks to provide to the research community a new paradigm to represent ANN architectures, where the ANNs could be represented by semantic information; II) designing new Auto Machine Learning (AutoML) technologies able to auto-configure Natural Language Processing pipelines.
Dr. Yoan Gutiérrez is a researcher at the University of Alicante, Spain. He has produced more than 60 scientific publications in journals and important international congresses, as well as more than seven software licenses transferred to industry. His research has been mainly focused on the semantic analysis of human language, development of semantic resources and their applications in other tasks such as opinion mining and automatic generation of knowledge. He has been involved in at least six research projects, i.e. Nationals and Europeans (i.e. SAM [FP7-611312]). He has been a member of organizing committees of congresses and scientific committees of several events such as: SEPLN 2015, eHealth-KD 2018, eHealth-KD 2019 and others.
His most recent researches are focussed on designing and developing Knowledge Discovery and Representation strategies: I) embedding semantic information into Artificial Neural Networks (ANNs), i.e., designing Semantic Neural Networks to provide to the research community a new paradigm to represent ANN architectures, where the ANNs could be represented by semantic information; II) designing new Auto Machine Learning (AutoML) technologies able to auto-configure Natural Language Processing pipelines.