Isabelle Augenstein
Professor
- Udgivet
niversity of Copenhagen Participation in TREC Health Misinformation Track 2020: U
Chaves Lima, L., Wright, ,. D. B., Augenstein, Isabelle & Maistro, Maria, 2020, Proceedings of the Twenty-Ninth Text REtrieval Conference (TREC 2020). Voorhees, E. M. & Ellis, A. (red.). National Institute of Standards and Technology (NIST), 16 s. (NIST Special Publication; Nr. 1266).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Zero-Shot Cross-Lingual Transfer with Meta Learning
Nooralahzadeh, F., Bekoulis, G., Bjerva, J. & Augenstein, Isabelle, 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, s. 4547-4562Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension
Abdou, M., Sas, C., Aralikatte, R., Augenstein, Isabelle & Søgaard, Anders, 2019, Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019). Association for Computational Linguistics, s. 265-274Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions
Kaffee, L., Arora, Arnav & Augenstein, Isabelle, 2023, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), s. 5891-5909Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
White Paper - Creating a Repository of Objectionable Online Content: Addressing Undesirable Biases and Ethical Considerations
Solorio, T., Shafaei, M., Smailis, C., Augenstein, Isabelle, Mitchell, M., Stapf, I. & Kakadiaris, I., 2021, I: OpenReview.net. 5 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning
- Udgivet
What do language representations really represent?
Bjerva, J., Östling, R., Veiga, M. H., Tiedemann, J. & Augenstein, Isabelle, 2019, I: Computational Linguistics. 45, 2, s. 381-389 9 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
What Can We Do to Improve Peer Review in NLP?
Rogers, A. & Augenstein, Isabelle, 2020, Findings of the Association for Computational Linguistics: EMNLP 2020. Association for Computational Linguistics, s. 1256-1262Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Unsupervised Evaluation for Question Answering with Transformers
Muttenthaler, L., Augenstein, Isabelle & Bjerva, J., 2020, Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP. Association for Computational Linguistics, s. 83-90Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Unsupervised Discovery of Gendered Language through Latent-Variable Modeling
Hoyle, A. M., Wolf-sonkin, L., Wallach, H., Augenstein, Isabelle & Cotterell, R., 2020, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, s. 1706-1716Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Uncovering Probabilistic Implications in Typological Knowledge Bases
Bjerva, J., Kementchedjhieva, Yova Radoslavova, Cotterell, R. & Augenstein, Isabelle, 2019, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, s. 3924–3930Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
ID: 180388519
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Mapping (Dis-)Information Flow about the MH17 Plane Crash
Publikation: Konferencebidrag › Paper › Forskning
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Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)
Publikation: Bog/antologi/afhandling/rapport › Bog › Forskning › fagfællebedømt
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