Daniel Ruffinelli

According to our database, Daniel Ruffinelli authored at least 17 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data.

Pedro Ortiz Suarez, Laurie Burchell, Catherine Arnett, Rafael Mosquera Gómez, Sara Hincapié Monsalve, Thom Vaughan, Damian Stewart, Malte Ostendorff, Idris Abdulmumin, Vukosi Marivate, Shamsuddeen Hassan Muhammad, Atnafu Lambebo Tonja, Hend Al-Khalifa, Nadia Ghezaiel Hammouda, Verrah Otiende, Tack Hwa Wong, Jakhongir Saydaliev, Melika Nobakhtian, Muhammad Ravi Shulthan Habibi, Chalamalasetti Kranti, Carol Muchemi, Khang Nguyen, Faisal Muhammad Adam, Luis Frentzen Salim, Reem Alqifari, Cynthia Amol, Joseph Marvin Imperial, Ilker Kesen, Ahmad Mustafid, Pavel Stepachev, Leshem Choshen, David Anugraha, Hamada Nayel, Seid Muhie Yimam, Vallerie Alexandra Putra, My Chiffon Nguyen, Azmine Toushik Wasi, Gouthami Vadithya, Rob van der Goot, Lanwenn Ar C'horr, Karan Dua, Andrew Yates, Mithil Bangera, Yeshil Bangera, Hitesh Laxmichand Patel, Shu Okabe, Fenal Ashokbhai Ilasariya, Dmitry Gaynullin, Genta Indra Winata, Yiyuan Li, Juan Pablo Martínez, Amit Agarwal, Ikhlasul Akmal Hanif, Raia Abu Ahmad, Esther Adenuga, Filbert Aurelian Tjiaranata, Weerayut Buaphet, Michael Anugraha, Sowmya Vajjala, Benjamin Rice, Azril Hafizi Amirudin, Jesujoba O. Alabi, Srikant Panda, Yassine Toughrai, Bruhan Kyomuhendo, Daniel Ruffinelli, Akshata A, Manuel Goulão, Ej Zhou, Ingrid Gabriela Franco Ramirez, Cristina Aggazzotti, Konstantin Dobler, Jun Kevin, Quentin Pagès, Nicholas Andrews, Nuhu Ibrahim, Mattes Ruckdeschel, Amr Keleg, Mike Zhang, Casper Muziri, Saron Samuel, Sotaro Takeshita, Kun Kerdthaisong, Luca Foppiano, Rasul Dent, Tommaso Green, Ahmad Mustapha Wali, Kamohelo Makaaka, Vicky Feliren, Inshirah Idris, Hande Çelikkanat, Abdulhamid Abubakar, Jean Maillard, Benoît Sagot, Thibault Clérice, Kenton Murray, Sarah Luger

CoRR, January, 2026

2025

Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks.

Sotaro Takeshita, Yurina Takeshita, Daniel Ruffinelli, Simone Paolo Ponzetto

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Steering Language Models in Multi-Token Generation: A Case Study on Tense and Aspect.

Alina Klerings, Jannik Brinkmann, Daniel Ruffinelli, Simone Paolo Ponzetto

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Enriching Social Science Research via Survey Item Linking.

Tornike Tsereteli, Daniel Ruffinelli, Simone Paolo Ponzetto

CoRR, 2024

2023

Knowledge graph embeddings: link prediction and beyond / Ruffinelli Daniel ; Betreuer: Rainer Gemulla.

Daniel Ruffinelli

PhD thesis, 2023

2022

KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models.

Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2020

You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings.

Daniel Ruffinelli, Samuel Broscheit, Rainer Gemulla

Proceedings of the 8th International Conference on Learning Representations, 2020

LibKGE - A knowledge graph embedding library for reproducible research.

Samuel Broscheit, Daniel Ruffinelli, Adrian Kochsiek, Patrick Betz, Rainer Gemulla

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

2019

On Evaluating Embedding Models for Knowledge Base Completion.

Yanjie Wang, Daniel Ruffinelli, Rainer Gemulla, Samuel Broscheit, Christian Meilicke

Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

An Introduction to AnyBURL.

Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt

Proceedings of the KI 2019: Advances in Artificial Intelligence, 2019

Anytime Bottom-Up Rule Learning for Knowledge Graph Completion.

Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

On Evaluating Embedding Models for Knowledge Base Completion.

Yanjie Wang, Daniel Ruffinelli, Samuel Broscheit, Rainer Gemulla

CoRR, 2018

Fine-Grained Evaluation of Rule- and Embedding-Based Systems for Knowledge Graph Completion.

Christian Meilicke, Manuel Fink, Yanjie Wang, Daniel Ruffinelli, Rainer Gemulla, Heiner Stuckenschmidt

Proceedings of the Semantic Web - ISWC 2018, 2018

2017

Linear nearest neighbor optimization in quantum circuits: a multiobjective perspective.

Daniel Ruffinelli, Benjamín Barán

Quantum Inf. Process., 2017

Towards Scalable Ontological Reasoning using Machine Learning.

Daniel Ruffinelli

Proceedings of the Doctoral Consortium, 2017

Fast ABox Consistency Checking Using Incomplete Reasoning and Caching.

Christian Meilicke, Daniel Ruffinelli, Andreas Nolle, Heiko Paulheim, Heiner Stuckenschmidt

Proceedings of the Rules and Reasoning - International Joint Conference, 2017

2016

A multiobjective approach to linear nearest neighbor optimization for 2D quantum circuits.

Daniel Ruffinelli, Benjamín Barán

Proceedings of the XLII Latin American Computing Conference, 2016