Philipp Borchert

According to our database, Philipp Borchert authored at least 8 papers between 2023 and 2024.

Collaborative distances:

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

2024

Industry-sensitive language modeling for business.

Philipp Borchert, Kristof Coussement, Jochen De Weerdt, Arno De Caigny

Eur. J. Oper. Res., 2024

Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance.

Manon Reusens, Philipp Borchert, Jochen De Weerdt, Bart Baesens

CoRR, 2024

Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning.

Philipp Borchert, Jochen De Weerdt, Marie-Francine Moens

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages.

Fabian David Schmidt, Philipp Borchert, Ivan Vulic, Goran Glavas

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Extending business failure prediction models with textual website content using deep learning.

Philipp Borchert, Kristof Coussement, Arno De Caigny, Jochen De Weerdt

Eur. J. Oper. Res., 2023

SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA.

Jonathan Tonglet, Manon Reusens, Philipp Borchert, Bart Baesens

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques.

Manon Reusens, Philipp Borchert, Margot Mieskes, Jochen De Weerdt, Bart Baesens

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation.

Philipp Borchert, Jochen De Weerdt, Kristof Coussement, Arno De Caigny, Marie-Francine Moens

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023