Filip Cornell

According to our database, Filip Cornell authored at least 5 papers between 2020 and 2024.

Collaborative distances:

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

2024

Are We Wasting Time? A Fast, Accurate Performance Evaluation Framework for Knowledge Graph Link Predictors.

Filip Cornell, Yifei Jin, Jussi Karlgren, Sarunas Girdzijauskas

CoRR, 2024

2022

Challenging the Assumption of Structure-based embeddings in Few- and Zero-shot Knowledge Graph Completion.

Filip Cornell, Chenda Zhang, Jussi Karlgren, Sarunas Girdzijauskas

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Symbolic Hyperdimensional Vectors with Sparse Graph Convolutional Neural Networks.

Filip Cornell, Jussi Karlgren, Animesh, Sarunas Girdzijauskas

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.

Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Rishabh Gupta, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, et al.

CoRR, 2021

2020

Using topological autoencoders as a filtering function for global and local topology.

Filip Cornell

CoRR, 2020