PhD Student
Computer Science Institute
University of Bonn

Profiles: LinkedInGoogle Scholar, DBLP

Room A120
Römerstr. 164, 53117 Bonn
University of Bonn, Computer Science
esteves@cs.uni-bonn.de

Short CV


Diego Esteves is a PhD Student & Research Associate at the University of Bonn. Esteves’ research interests are in the area of Fact Checking on the Web and Machine Learning Metadata.

Research Interests


  • Fact Checking
  • Machine Learning
  • Reproducible Research
  • Natural Language Processing
  • Metadata

Projects


Teaching


  • Natural Language Processing – Lab
  • Natural Language Processing – Seminars

Publications


2017

  1. Named Entity Recognition in Twitter using Images and Textby D. Esteves, R. Peres, J. Lehmann and G. Napolitano in The 3rd International Workshop on Natural Language Processing for Informal Text (NLPIT 2017) co-located with the International Conference on Web Engineering (ICWE 2017)
  2. LOG4MEX: A Library to Export Machine Learning Experimentsby D. Esteves, D. Moussallem, T. Soru, C. B. Neto, J. Lehmann, A. N. Ngomo and J. C. Duarte In Web Intelligence (WI), 2017 IEEE/WIC/ACM International Conference on 2017. IEEE.
  3. An Interoperable Service for the Provenance of Machine Learning Experimentsby J. C. Duarte, M. C. R. Cavalcanti, I. S. Costa, and D. Esteves In Web Intelligence (WI), 2017 IEEE/WIC/ACM International Conference on 2017. IEEE.

2016

  1. The Algorithm-Implementation-Execution Ontology Design Pattern by A. Lawrynowicz, D. Esteves, P. Panov, T. Soru, S. Dzeroski, and J. Vanschoren in Workshop on Ontology and Semantic Web Patterns (7th edition) – WOP2016 .
  2. MEX Interfaces: Automating Machine Learning Metadata Generationby D. Esteves, P. N. Mendes, D. Moussallem, J. C. Duarte, A. J. Zaveri, J. Lehmann, C. B. Neto, I. S. Costa, and M. C. Cavalcanti in 12th International Conference on Semantic Systems (SEMANTiCS 2016), 12-15 September 2016, Leipzig, Germany (acceptance rate = 21%).
  3. WASOTA: What are the states of the art? by C. B. Neto, D. Esteves, T. Soru, D. Moussallem, A. Valdestilhas, and E. Marx in 12th International Conference on Semantic Systems (SEMANTiCS 2016), 12-15 September 2016, Leipzig, Germany (Posters & Demos)

2015

  1. DeFacto – Temporal and Multilingual Deep Fact Validation by D. Gerber, D. Esteves, J. Lehmann, L. Bühmann, R. Usbeck, A. N. Ngomo, and R. Speck in Web Semantics: Science, Services and Agents on the World Wide Web (JWS).
  2. DeFacto – A Multilingual Fact Validation Interface by R. Speck, D. Esteves, J. Lehmann, and A. N. Ngomo in Proceedings of the ISWC 2015 Semantic Web Challenge, co-located with the 14th International Semantic Web Conference (ISWC-2015), Bethlehem, PA, USA, October 11, 2015.
  3. An Open Question Answering Frameworkby E. Marx, T. Soru, D. Esteves, A. N. Ngomo, and J. Lehmann in Proceedings of the ISWC 2015 Posters & Demonstrations Track co-located with the 14th International Semantic Web Conference (ISWC-2015), Bethlehem, PA, USA, October 11, 2015.
  4. Interoperable Machine Learning Metadata using MEX by D. Esteves, D. Moussallem, C. B. Neto, J. Lehmann, M. C. R. Cavalcanti, and J. C. Duarte in Proceedings of the ISWC 2015 Posters & Demonstrations Track co-located with the 14th International Semantic Web Conference (ISWC-2015), Bethlehem, PA, USA, October 11, 2015.
  5. MEX Vocabulary: A Lightweight Interchange Format for Machine Learning Experiments by D. Esteves, D. Moussallem, C. B. Neto, T. Soru, R. Usbeck, M. Ackermann, and J. Lehmann in SEMANTiCS 2015 (acceptance rate = 23%).
  6. Predição de Tendência de Ativos em Séries Financeiras Utilizando Algoritmos de Aprendizado de Máquina” by D.Esteves. Military Institute of Engineering, Brazilian Army, Master Thesis.
  7. Prediction of Assets Behaviour in Financial Series using Machine Learning Algorithms” by D. Esteves and J.C. Duarte in International Journal of Advanced Research in Artificial Intelligence, 2013.