Daniel Ruffinelli

Researcher

Email: d r u f f i n e l l i (at) uni-mannheim.de

(Feel free to insist if I do not reply to your email quickly enough)

B6, 26 Room C 106

About

I am a PostDoc working on Natural Language Processing with Prof. Dr. Simone Ponzetto. Prior to this, I did a PhD on learning representations of knowledge graphs with Prof. Dr. Rainer Gemulla.

I've been regularly advising on MSc and BSc theses since 2018.
Advanced Methods in Text Analytics – Lectures and Tutorials (Fall 2023, Spring 2024, Spring 2025)
Information Retrieval – Lectures (Fall 2024)
Deep Learning – Tutorials (Spring 2022, Spring 2023)
Machine Learning – Tutorials (Fall 2020, Fall 2021, Fall 2022)
Hot Topics in Machine Learning – Tutorials (Spring 2020, Spring 2021)
Data Mining and Matrices – Tutorials (Spring 2019)
Large Scale Data Management – Tutorials (Fall 2017, Fall 2018, Fall 2019)
Data Mining – Tutorials (Spring 2017, Spring 2018)

D. Ruffinelli, R. Gemulla
Beyond Link Prediction: On Pre-Training Knowledge Graph Embeddings
In RepL4NLP@ACL (workshop), 2024
H. Widjaja, K. Gashteovski, W. B. Rim, P. Liu, C. Malon, D. Ruffinelli, C. Lawrence, G. Neubig
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models
In EMNLP, 2022 (demo paper)
D. Ruffinelli, S. Broscheit, R. Gemulla
You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings
In ICLR, 2020
Y. Wang, D. Ruffinelli, R. Gemulla, S. Broscheit, C. Meilicke
On Evaluating Embedding Models for Knowledge Base Completion (Outstanding Paper)
In RepL4NLP@ACL (workshop), 2019
C. Meilicke, M. W. Chekol, D. Ruffinelli, H. Stuckenschmidt
Anytime Bottom-up Rule Learning for Knowledge Graph Completion
In IJCAI, 2019
C. Meilicke, M. Fink, Y. Wang, D. Ruffinelli, R. Gemulla, H. Stuckenschmidt
Fine-grained Evaluation of Rule- and Embedding-based Systems for Knowledge Graph Completion
In ISWC, 2018