People

Roberto Navigli

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Faculty
BabelNet Multilinguality Natural Language Understanding Semantics

Full professor and head of the Sapienza NLP Group, conducting research in multilingual Natural Language Understanding, including Word Sense Disambiguation, Semantic Role Labeling and Semantic Parsing in multiple languages. ACL Fellow and EurAI Fellow.

Tommaso Bonomo

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PhD Student
Information Extraction Narrative Understanding Question Answering Storytelling

PhD student with many questions: how do humans understand written stories? How can we represent that knowledge? How can we use it to automatically understand and generate narrative text?

Karim Ghonim

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PhD Student
Factual Accuracy Multimodality Natural Language Generation

PhD student researching the integration of multimodal knowledge to improve the quality of generated text.

Lu Xu

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PhD Student
Bias Evaluation Hate Speech Detection Multilinguality

PhD student interested in multi-language NLP and biases hidden in large language models.

Luca Gioffrè

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PhD Student
Graph Representations & GNNs Natural Language Understanding & Generation XAI & Trustworthiness

PhD student interested in stories and how they can be understood by machines. Also a big fan of interpretable and ethical AI. Currently working on Semantic Text Representation, Summarization and QA.

Luca Moroni

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PhD Student
Knowledge Enhanced LLMs Large Language Models Training Data for LLMs

PhD student, understanding how Large Language Models works, trying to untangle the mysteries that lie behind their (apparent) abilities.

Bruno Gatti

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PhD Student
Mulilinguality Natural Language Understanding Retrieval Augmented Generation Semantic Parsing

PhD student focused on semantic representation for multilingual natural language understanding, with a strong interest in exploring innovative NLP techniques like Retrieval-Augmented Generation (RAG).

Alberte Fernández Castro

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PhD Student
Cross-linguality Human Annotated Data LLM evaluation Paraphrasing

Linguist and lexicographer by training, currently pursuing a PhD in AI. My research focuses on the paraphrasing capabilities of LLMs in cross-lingual contexts, with an emphasis on enhancing this capability in downstream applications. I prioritize the use of human-annotated datasets and lexicographic resources to provide models with high-quality training data, aiming for more accurate and reliable results.

Francesco Ortame

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PhD Student
Concept-level Modeling Large Language Models Sentence Represenation

PhD student researching higher-level semantic representations and language modeling beyond next-token prediction.

Marina Iuliana Aur

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PhD Student
Evaluation & Interpretability Long-Context Modeling Multilinguality & Machine Translation Natural Language Understanding

PhD student interested in Natural Language Understanding and interpreting how language models work under the hood, with a focus on text quality evaluation and long-context modeling.

Elena Marafatto

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PhD Student
Human Annotated Data LLM Evaluation Natural Language Generation Safety

Linguist and PhD student in AI, studying how large language models process and generate language. My research focuses on their safety and reliability, especially how linguistic structure can be leveraged to make LLMs’ behavior more predictable and robust.