Jonas Pfeiffer

Jonas Pfeiffer M.Sc.

Doctoral researcher

Contact

Work S2|02 B113
Hochschulstr. 10
64289 Darmstadt

I am a first year PhD student on the FAMULUS project where I am working on NLP adaptations to the medical domain. Currently part of my work focuses on making neural networks more humanly interpretable.

I am also interested in

  • Semantic Parsing
  • Distributional Semantics
  • Machine Translation
Jump to: 2021 | 2020 | 2019 | 2018
Number of items: 13.

2021

Pfeiffer, Jonas and Kamath, Aishwarya and Rücklé, Andreas and Cho, Kyunghyun and Gurevych, Iryna (2021):
AdapterFusion: Non-Destructive Task Composition for Transfer Learning.
16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), virtual conference, 19.-23.04.2021, [Conference or Workshop Item]

2020

Rücklé, Andreas and Pfeiffer, Jonas and Gurevych, Iryna (2020):
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale.
pp. 2471-2486, Association for Computational Linguistics, The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), virtual Conference, 16.-20.11., [Conference or Workshop Item]

Pfeiffer, Jonas and Vulić, Ivan and Gurevych, Iryna and Ruder, Sebastian (2020):
MAD-X: An Adapter-based Framework for Multi-task Cross-lingual Transfer.
pp. 7654-7673, Association for Computational Linguistics, The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), virtual Conference, 16.-20.11., [Conference or Workshop Item]

Pfeiffer, Jonas and Rücklé, Andreas and Poth, Clifton and Kamath, Aishwarya and Vulić, Ivan and Ruder, Sebastian and Cho, Kyunghyun and Gurevych, Iryna (2020):
AdapterHub: A Framework for Adapting Transformers.
In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pp. 46-54,
Association for Computational Linguistics, Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP 2020), virtual Conference, 16.-20.11., DOI: 10.18653/v1/2020.emnlp-demos.7,
[Conference or Workshop Item]

Simpson, Edwin and Pfeiffer, Jonas and Gurevych, Iryna (2020):
Low Resource Sequence Tagging with Weak Labels.
In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 8862-8869,
AAAI Press, 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, 07.-12.02.2020, e-ISSN 2374-3468,
DOI: 10.1609/aaai.v34i05.6415,
[Conference or Workshop Item]

Pfeiffer, Jonas and Simpson, Edwin and Gurevych, Iryna (2020):
Low Resource Multi-Task Sequence Tagging - Revisiting Dynamic Conditional Random Fields.
In: arXiv-Computer Science, In: Computation and Language, (Preprint), [Article]

2019

Bauer, Elisabeth and Sailer, Michael and Kiesewetter, Jan and Schulz, Claudia and Pfeiffer, Jonas and Gurevych, Iryna and Fischer, Martin R. and Fischer, Frank (2019):
Using ENA to Analyze Pre-service Teachers' Diagnostic Argumentations: A Conceptual Framework and Initial Applications.
In: Advances in Quantitative Ethnography, pp. 14-25,
Springer, 1st International Conference on Quantitative Ethnography (ICQE 2019), Madison, USA, 20.-22.10., ISBN 9783030332310,
DOI: 10.1007/978-3-030-33232-7_2,
[Conference or Workshop Item]

Alhindi, Tariq and Pfeiffer, Jonas and Muresan, Smaranda (2019):
Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels.
In: 2nd Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda, pp. 98-102,
EMNLP-IJCNLP 2019, Hong Kong, China, 03.11.2019--07.11.2019, [Conference or Workshop Item]

Kamath, Aishwarya and Pfeiffer, Jonas (2019):
Multi-Modal Embeddings for Common Sense Reasoning.
In: EurNLP Summit Abstracts, [Article]

Pfeiffer, Jonas and Kamath, Aishwarya and Gurevych, Iryna and Ruder, Sebastian (2019):
What do Deep Networks Like to Read?
In: arXiv preprint arXiv:1909.04547, [Article]

Pfeiffer, Jonas and Meyer, Christian M. and Schulz, Claudia and Kiesewetter, Jan and Zottmann, Jan and Sailer, Michael and Bauer, Elisabeth and Fischer, Frank and Fischer, Martin R. and Gurevych, Iryna (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 the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations, pp. 73-78,
The 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations, Hong Kong, China, 03.11.2019-07.11.2019, [Conference or Workshop Item]

Kamath, Aishwarya and Pfeiffer, Jonas and Ponti, Edoardo M. and Glavaš, Goran and Vulić, Ivan (2019):
Specializing Distributional Vectors of All Words for Lexical Entailment.
pp. 72-83, The 4th Workshop on Repl4NLP 2019, Florence, Italy, 2. August 2019, [Conference or Workshop Item]

2018

Pfeiffer, Jonas and Broscheit, Samuel and Gemulla, Rainer and Göschl, Mathias (2018):
A Neural Autoencoder Approach for Document Ranking and Query Refinement in Pharmacogenomic Information Retrieval.
pp. 87-97, Melbourne, Australia, Association for Computational Linguistics, Proceedings of the BioNLP 2018 workshop, Melbourne, Australia, [Conference or Workshop Item]

This list was generated on Mon Apr 12 04:38:32 2021 CEST.