Leonardo Filipe Rodrigues Ribeiro

Leonardo Filipe Rodrigues Ribeiro M.Sc.

Doctoral researcher

+49 6151 16-21420

leoribeiro.github.io

Hochshulstr. 10
64298 Darmstadt

Office: S2|02 E117

Links

More information

I am a second year computer science PhD student at UKP Lab at Technische Universität Darmstadt. My supervisor is Prof. Iryna Gurevych.

My current research focuses are on Neural Graph Methods for Natural Language Processing (NLP) and Text Generation from graph-based data.

I am interested in

  • Deep Learning
  • Natural Language Processing
  • Graph Representation Learning
  • Graph-to-Text Generation

Short Bio

I received a BS degree in Computer Engineering from the Centro Federal de Educação Tecnológica de Minas Gerais (CEFET-MG), in 2014. I studied for one year at the Universidad del País Vasco, Spain, attending classes from September 2012 until June 2013. I, then, received a Master degree in Computer and Systems Engineering from the Universidade Federal do Rio de Janeiro (COPPE/PESC/UFRJ), in 2017. My Master dissertation received the Best Master’s Thesis Award in the 11th Thesis and Dissertation on Artificial and Computational Intelligence Contest in Brazil. My advisor was Prof. Daniel Figueiredo.

AIPHES area

Working in Guiding Theme B1: Structured summaries of complex contents with Prof. Dr. Iryna Gurevych.

Publications

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Gruppiere nach: Publikationsjahr | Typ des Eintrags | Keine Gruppierung
Springe zu: 2020 | 2019
Anzahl der Einträge: 5.

2020

Lauscher, Anne ; Majewska, Olga ; Ribeiro, Leonardo F. R. ; Gurevych, Iryna ; Rozanov, Nikolai ; Glavaš, Goran (2020):
Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers.
In: The 2nd Workshop on Deep Continuous-Discrete Machine Learning (DeCoDeML Workshop 2020), virtual Conference, 14.-18.09., [Online-Edition: https://arxiv.org/abs/2005.11787],
[Konferenzveröffentlichung]

Ribeiro, Leonardo F. R. ; Zhang, Yue ; Gardent, Claire ; Gurevych, Iryna (2020):
Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs.
In: Transactions of the Association for Computational Linguistics, 8. S. 589-604, [Online-Edition: https://www.mitpressjournals.org/doi/full/10.1162/tacl_a_003...],
[Artikel]

2019

Ribeiro, Leonardo F. R. ; Gardent, Claire ; Gurevych, Iryna (2019):
Enhancing AMR-to-Text Generation with Dual Graph Representations.
In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing, Hong Kong, China, 03.12.2019-07.12.2019, S. 3183-3194, [Online-Edition: https://www.aclweb.org/anthology/D19-1314.pdf],
[Konferenzveröffentlichung]

Ribeiro, Leonardo F. R. ; Gardent, Claire ; Gurevych, Iryna (2019):
Learning Dual Graph Representations for AMR-to-Text Generation.
In: KDD Workshop on Deep Learning on Graphs: Methods and Applications (DLG’19), Anchorage, Alaska, USA, August 5, 2019, [Konferenzveröffentlichung]

Falke, Tobias ; Ribeiro, Leonardo F. R. ; Utama, Prasetya ; Dagan, Ido ; Gurevych, Iryna (2019):
Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference.
In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy, 28.07.2019--02.08.2019, S. 2214-2220, [Online-Edition: https://www.aclweb.org/anthology/P19-1213],
[Konferenzveröffentlichung]

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