Leonardo F. R. Ribeiro

Orcid: 0000-0003-2639-942X

Affiliations:
  • Technische Universität Darmstadt, Germany


According to our database1, Leonardo F. R. Ribeiro authored at least 21 papers between 2017 and 2023.

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Bibliography

2023
Learning to reason over scene graphs: a case study of finetuning GPT-2 into a robot language model for grounded task planning.
Frontiers Robotics AI, February, 2023

Generating Summaries with Controllable Readability Levels.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Graph-based Approaches to Text Generation.
PhD thesis, 2022

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code.
CoRR, 2022

FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

UKP-SQUARE: An Online Platform for Question Answering Research.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021
Structural Adapters in Pretrained Language Models for AMR-to-Text Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Neural Graph-based Local Coherence Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs.
Trans. Assoc. Comput. Linguistics, 2020

Investigating Pretrained Language Models for Graph-to-Text Generation.
CoRR, 2020

Modeling Graph Structure via Relative Position for Better Text Generation from Knowledge Graphs.
CoRR, 2020

Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers.
CoRR, 2020

Metaphoric Paraphrase Generation.
CoRR, 2020

2019
Enhancing AMR-to-Text Generation with Dual Graph Representations.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2017
Ranking lawyers using a social network induced by legal cases.
J. Braz. Comput. Soc., 2017

struc2vec: Learning Node Representations from Structural Identity.
CoRR, 2017

<i>struc2vec</i>: Learning Node Representations from Structural Identity.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017


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