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Leonardo F. R. Ribeiro

Doctoral student @ TU Darmstadt

question answering

explainability

demo system

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ukp

7

presentations

11

number of views

SHORT BIO

Leonardo Ribeiro is a PhD candidate at UKP Lab at the Technical University of Darmstadt, advised by Iryna Gurevych. He is broadly interested in the intersection of deep learning and natural language processing (NLP). During his Ph.D., he works on generation models for summarization and that produce fluent text from structured data. Specifically, he focuses on graph-based inputs and develops different approaches to represent graph structures for text generation. In the summer of 2021, we worked as a research intern at Amazon Alexa AI under the supervision of Markus Dreyer, Mengwen Liu and Mohit Bansal. His research interests include text generation, summarization, controllability and faithfulness of generation models, graph representation learning for NLP and reasoning about human and world knowledge.

Presentations

FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations

Leonardo F. R. Ribeiro and 4 other authors

UKP-SQUARE: An Online Platform for Question Answering Research

Tim Baumgärtner and 12 other authors

Investigating Pretrained Language Models for Graph-to-Text Generation

Leonardo F. R. Ribeiro and 3 other authors

Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation

Leonardo F. R. Ribeiro and 3 other authors

Structural Adapters in Pretrained Language Models for AMR-to-Text Generation

Leonardo F. R. Ribeiro and 2 other authors

Structural Adapters in Pretrained Language Models for AMR-to-Text Generation

Leonardo F. R. Ribeiro and 2 other authors

Structural Adapters in Pretrained Language Models for AMR-to-Text Generation

Leonardo F. R. Ribeiro and 2 other authors

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