Publications

2020

Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, Sebastian Ruder (2020). MAD-X: An Adapter-based Framework for Multi-task Cross-lingual Transfer. arXiv preprint.

Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, Kyunghyun Cho, Iryna Gurevych (2020). AdapterFusion: Non-Destructive Task Composition for Transfer Learning. arXiv preprint.

Jonas Pfeiffer, Edwin Simpson, Iryna Gurevych (2020). Low Resource Multi-Task Sequence Tagging - Revisiting Dynamic Conditional Random Fields. arXiv preprint.

Edwin Simpson, Jonas Pfeiffer, Iryna Gurevych (2020). Low Resource Sequence Tagging with Weak Labels. In Proceedings of AAAI 2020, New York City, USA.

2019

Jonas Pfeiffer, Christian M. Meyer, Claudia Schulz, Jan Kiesewetter, Jan Zottmann, Michael Sailer, Elisabeth Bauer, Frank Fischer, Martin R. Fischer, Iryna Gurevych (2019). FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Hong Kong, Hong Kong.

Tariq Alhindi, Jonas Pfeiffer, Smaranda Muresan (2019). Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing 2nd Workshop on NLP for Internet Freedom (NLP4IF), Hong Kong, Hong Kong.

Jonas Pfeiffer*, Aishwarya Kamath*, Iryna Gurevych, Sebastian Ruder (2019). What do Deep Networks Like to Read?. arXiv preprint.

Aishwarya Kamath*, Jonas Pfeiffer*, Edoardo M. Ponti, Goran Glavaš, Ivan Vulić (2019). Specializing Distributional Vectors of All Words for Lexical Entailment. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics 2019 Repl4NLP Workshop, Florence, Italy.

* Both authors contributed equally to this work.

2018

Jonas Pfeiffer, Samuel Broscheit, Rainer Gemulla, Mathias Göschl (2018). A Neural Autoencoder Approach for Document Ranking and Query Refinement in Pharmacogenomic Information Retrieval. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics 2018 BioNLP Workshop, Melbourne, Australia.