Pedro Mota

From L²F

Pedro Mota obtained his Bachelor degree in Information Systems and Computer Engineering from Instituto Superior Técnico (IST) in 2010. He also received his Masters degree from IST in 2012, during which he joined the Spoken Language Systems Laboratory (L²F), as a grant holder for the FalaComigo project. Currently Pedro is enrolled in the Dual PhD Program CMU|Portugal.


INESC ID Information

Publications

International Journals

2018

  • Pedro Mota, Maxine Eskenazi, Luísa Coheur, MUSED: A multimedia multi-document dataset for topic segmentation, Natural Language Engineering, Cambridge University Press, vol. 24, n. 6, pages 921–946, doi: 10.1017/S1351324918000359, November 2018

International Conferences

2018

  • Pedro Mota, Maxine Eskenazi, Luísa Coheur, Efficient navigation in learning materials: an empirical study on the linking process, In Artificial Intelligence in Education (AIED), Springer Lecture Notes in Computer Science (LNCS), London, June 2018

2016

  • Pedro Mota, Maxine Eskenazi, Luísa Coheur, Multi-document Topic Segmentation Using Bayesian Estimation, In Tenth IEEE International Conference on Semantic Computing, ICSC 2016, pages 443-447, doi: 10.1109/ICSC.2016.17, Laguna Hills, CA, USA, February 2016

2015

  • Pedro Mota, Francisco S. Melo, Luísa Coheur, Modeling Students Self-Studies Behaviors, In 2015 International Conference on Autonomous Agents and Multiagent Systems, series AAMAS 15, pages 1521-1528, Istanbul, Turkey, May 2015

2012

National Conferences

2012

  • Pedro Mota, Luísa Coheur, Natural Language Understanding as a classification process: report of initial experiments and results, In Inforum, September 2012
  • Pedro Mota, Natural Language Understanding as a classification process: report of initial experiments and results, In Inforum, September 2012

Technical Reports

2013

Masters Theses

2012

Research Interests

  • Natural Language Understanding & Virtual Teaching Assistants (VTA)

Ongoing Projects

  • Language Understading Platform (LUP) & VTA for REAP