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Daniel Ruffinelli

Observed name: Ruffinelli, Daniel
ORCID: 0000-0002-4831-2930
Observed ORCID: 0000-0002-4831-2930
OpenAlex ID: A5083786473
Anytime Bottom-Up Rule Learning for Knowledge Graph Completion
2019 · Christian Meilicke, Melisachew Wudage Chekol, et al. · International Joint Conference on Artificial Intelligence · 254
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Fine-Grained Evaluation of Rule- and Embedding-Based Systems for Knowledge Graph Completion
2018 · Christian Meilicke, Manuel Fink, et al. · Lecture notes in computer science · 182
You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings
2020 · Daniel Ruffinelli, Samuel Broscheit, et al. · MADOC (University of Mannheim) · 115
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LibKGE - A knowledge graph embedding library for reproducible research
2020 · Samuel Broscheit, Daniel Ruffinelli, et al. · Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP) · 69
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On Evaluating Embedding Models for Knowledge Base Completion
2019 · Yanjie Wang, Daniel Ruffinelli, et al. · Workshop on Representation Learning for NLP (RepL4NLP) · 38
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Linear nearest neighbor optimization in quantum circuits: a multiobjective perspective
2017 · Daniel Ruffinelli, Benjamín Barán · Quantum Information Processing · 17
Fast ABox Consistency Checking Using Incomplete Reasoning and Caching
2017 · Christian Meilicke, Daniel Ruffinelli, et al. · Lecture notes in computer science · 10
An Introduction to AnyBURL
2019 · Christian Meilicke, Melisachew Wudage Chekol, et al. · Lecture notes in computer science · 9
A multiobjective approach to linear nearest neighbor optimization for 2D quantum circuits
2016 · Daniel Ruffinelli, Benjamin Baran · Latin American Computer Conference (CLEI) · 4
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models
2022 · Haris Widjaja, Kiril Gashteovski, et al. · Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP) · 3
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Beyond Link Prediction: On Pre-Training Knowledge Graph Embeddings
2024 · Daniel Ruffinelli, Rainer Gemulla · Workshop on Representation Learning for NLP (RepL4NLP) · 1
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Towards scalable ontological reasoning using machine learning
2017 · Daniel Ruffinelli · MADOC (University of Mannheim) · 1
CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Dana
2026 · Association for Computational Linguistics 2026, Abdulmumin, Idris, et al. · Underline Science Inc.
CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data
2026 · Suarez, Pedro Ortiz, Burchell, Laurie, et al. · HAL
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To MRL or not to MRL: Text Embeddings are Robust to Truncation Without Matryoshka Learning, Except In Heavy Truncation Scenarios
2026 · Sotaro Takeshita, Yurina Takeshita, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data
2026 · Pedro Ortiz Suarez, Laurie Burchell, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks
2025 · Sotaro Takeshita, Yurina Takeshita, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Steering Language Models in Multi-Token Generation: A Case Study on Tense and Aspect
2025 · Alina Klerings, Jannik Brinkmann, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Enriching Social Science Research via Survey Item Linking
2024 · Tsereteli, Tornike, Ruffinelli, Daniel, et al. · arXiv (Cornell University)
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KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models
2022 · Widjaja, Haris, Gashteovski, Kiril, et al. · arXiv (Cornell University)
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Do Embedding Models Perform Well for Knowledge Base Completion
2018 · Yanjie Wang, Daniel Ruffinelli, et al. · arXiv (Cornell University)
Works count: 23
Citation count: 703
H-index: 8
I10-index: 7
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