Jonas Pfeiffer

Jonas Pfeiffer

Jonas Pfeiffer M.Sc.

Doctoral researcher

Hochschulstr. 10
64289 Darmstadt

Office: S2|02 B113

Links

More information

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

Publications

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Gruppiere nach: Publikationsjahr | Typ des Eintrags | Keine Gruppierung
Springe zu: 2021 | 2020 | 2019 | 2018
Anzahl der Einträge: 12.

2021

Pfeiffer, Jonas ; Kamath, Aishwarya ; Rücklé, Andreas ; Cho, Kyunghyun ; 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, [Konferenzveröffentlichung]

2020

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

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

Pfeiffer, Jonas ; Rücklé, Andreas ; Poth, Clifton ; Kamath, Aishwarya ; Vulić, Ivan ; Ruder, Sebastian ; Cho, Kyunghyun ; Gurevych, Iryna (2020):
AdapterHub: A Framework for Adapting Transformers.
In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, S. 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,
[Konferenzveröffentlichung]

Simpson, Edwin ; Pfeiffer, Jonas ; Gurevych, Iryna (2020):
Low Resource Sequence Tagging with Weak Labels.
In: Proceedings of the AAAI Conference on Artificial Intelligence, S. 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,
[Konferenzveröffentlichung]

2019

Bauer, Elisabeth ; Sailer, Michael ; Kiesewetter, Jan ; Schulz, Claudia ; Pfeiffer, Jonas ; Gurevych, Iryna ; Fischer, Martin R. ; Fischer, Frank (2019):
Using ENA to Analyze Pre-service Teachers' Diagnostic Argumentations: A Conceptual Framework and Initial Applications.
In: Advances in Quantitative Ethnography, S. 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,
[Konferenzveröffentlichung]

Alhindi, Tariq ; Pfeiffer, Jonas ; 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, S. 98-102,
EMNLP-IJCNLP 2019, Hong Kong, China, 03.11.2019--07.11.2019, [Konferenzveröffentlichung]

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

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

Pfeiffer, Jonas ; Meyer, Christian M. ; Schulz, Claudia ; Kiesewetter, Jan ; Zottmann, Jan ; Sailer, Michael ; Bauer, Elisabeth ; Fischer, Frank ; Fischer, Martin R. ; 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, S. 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, [Konferenzveröffentlichung]

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

2018

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

Diese Liste wurde am Mon Mar 1 05:53:18 2021 CET generiert.

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