Jonas Pfeiffer
Jonas Pfeiffer
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MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer
J Pfeiffer, I Vulić, I Gurevych, S Ruder
Proceedings of EMNLP 2020, 2020
Specializing distributional vectors of all words for lexical entailment
A Kamath, J Pfeiffer, E Ponti, G Glavaš, I Vulić
4th Workshop on Representation Learning for NLP (RepL4NLP), 72-83, 2019
AdapterHub: A Framework for Adapting Transformers
J Pfeiffer, A Rücklé, C Poth, A Kamath, I Vulić, S Ruder, K Cho, I Gurevych
Proceedings of EMNLP 2020: Systems Demonstrations, 2020
Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels
T Alhindi, J Pfeiffer, S Muresan
2nd Workshop on NLP for Internet Freedom (NLP4IF), 2019
A neural autoencoder approach for document ranking and query refinement in pharmacogenomic information retrieval
J Pfeiffer, S Broscheit, R Gemulla, M Göschl
Proceedings of the 17th BioNLP Workshop, 87-97, 2018
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
J Pfeiffer, A Kamath, A Rücklé, K Cho, I Gurevych
Proceedings of EACL 2021, 2020
Low Resource Sequence Tagging with Weak Labels
E Simpson, J Pfeiffer, I Gurevych
Proceedings of AAAI 2020, 2020
What do Deep Networks Like to Read?
J Pfeiffer, A Kamath, I Gurevych, S Ruder
arXiv preprint arXiv:1909.04547, 2019
AdapterDrop: On the Efficiency of Adapters in Transformers
A Rücklé, G Geigle, M Glockner, T Beck, J Pfeiffer, N Reimers, I Gurevych
arXiv preprint arXiv:2010.11918, 2020
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale
A Rücklé, J Pfeiffer, I Gurevych
Proceedings of EMNLP 2020, 2020
Low Resource Multi-Task Sequence Tagging - Revisiting Dynamic Conditional Random Fields
J Pfeiffer, E Simpson, I Gurevych
arXiv preprint, 2020
FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning
J Pfeiffer, CM Meyer, C Schulz, J Kiesewetter, J Zottmann, M Sailer, ...
Proceedings of EMNLP-IJCNLP 2019: System Demonstrations, 2019
UNKs Everywhere: Adapting Multilingual Language Models to New Scripts
J Pfeiffer, I Vulić, I Gurevych, S Ruder
arXiv preprint arXiv:2012.15562, 2020
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models
P Rust, J Pfeiffer, I Vulić, S Ruder, I Gurevych
arXiv preprint arXiv:2012.15613, 2020
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