Isabelle Augenstein
Professor
- Udgivet
2kenize: Tying Subword Sequences for Chinese Script Conversion
A, P. & Augenstein, Isabelle, 2020, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, s. 7257-7272Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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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
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Time-aware evidence ranking for fact-checking
Allein, L., Augenstein, Isabelle & Moens, M. F., 2021, I: Journal of Web Semantics. 71, 14 s., 100663.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection
Arakelyan, Erik, Arora, Arnav & Augenstein, Isabelle, 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Long papers. Association for Computational Linguistics (ACL), Bind 1. s. 13448-13464Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Adapting Neural Link Predictors for Data-Efficient Complex Query Answering
Arakelyan, Erik, Minervini, P., Daza, D., Cochez, M. & Augenstein, Isabelle, 2024, 37th Conference on Neural Information Processing Systems (NeurIPS 2023).. OpenReview.net, 13 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Probing Pre-Trained Language Models for Cross-Cultural Differences in Values
Arora, Arnav, Kaffee, L. F. & Augenstein, Isabelle, 2022, arxiv.org, 11 s.Publikation: Working paper › Preprint › Forskning
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Probing Pre-Trained Language Models for Cross-Cultural Differences in Values
Arora, Arnav, Kaffee, L. & Augenstein, Isabelle, 2023, Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP). Association for Computational Linguistics (ACL), s. 114-130Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Detecting Harmful Content on Online Platforms: What Platforms Need vs. Where Research Efforts Go
Arora, Arnav, Nakov, P., Hardalov, M., Sarwar, S. M., Nayak, V., Dinkov, Y., Zlatkova, D., Dent, K., Bhatawdekar, A., Bouchard, G. & Augenstein, Isabelle, 2023, I: ACM Computing Surveys. 56, 3, s. 1-17 72.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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Fact Checking with Insufficient Evidence
Atanasova, Pepa Kostadinova, Simonsen, Jakob Grue, Lioma, Christina & Augenstein, Isabelle, 2022, I: Transactions of the Association for Computational Linguistics. 10, s. 746-763Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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Generating Label Cohesive and Well-Formed Adversarial Claims
Atanasova, Pepa Kostadinova, Wright, Dustin & Augenstein, Isabelle, 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, s. 3168-3177Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Generating Fact Checking Explanations
Atanasova, Pepa Kostadinova, Simonsen, Jakob Grue, Lioma, Christina & Augenstein, Isabelle, 2020, : Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, s. 7352-7364Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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A Diagnostic Study of Explainability Techniques for Text Classification
Atanasova, Pepa Kostadinova, Simonsen, Jakob Grue, Lioma, Christina & Augenstein, Isabelle, 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, s. 3256-3274Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Faithfulness Tests for Natural Language Explanations
Atanasova, Pepa Kostadinova, Camburu, O. M., Lioma, Christina, Lukasiewicz, T., Simonsen, Jakob Grue & Augenstein, Isabelle, 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Association for Computational Linguistics (ACL), s. 283-294 12 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Diagnostics-Guided Explanation Generation
Atanasova, Pepa Kostadinova, Simonsen, Jakob Grue, Lioma, Christina & Augenstein, Isabelle, 2022, I: Proceedings of the International Joint Conference on Artificial Intelligence. 36, 10, s. 10445-10453.Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning
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Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts
Augenstein, Isabelle (red.) & Habernal, I. (red.), 2021, Association for Computational Linguistics (ACL). (EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Tutorial Abstracts).Publikation: Bog/antologi/afhandling/rapport › Bog › Forskning › fagfællebedømt
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Habilitation Abstract: Towards Explainable Fact Checking
Augenstein, Isabelle, 2022, I: KI - Künstliche Intelligenz. 36, s. 255–258Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces
Augenstein, Isabelle, Ruder, S. & Søgaard, Anders, 2018, Proceedings, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies : (Long Papers). Association for Computational Linguistics, Bind 1. s. 1896–1906 11 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Multi-Task Learning of Keyphrase Boundary Classification
Augenstein, Isabelle & Søgaard, Anders, 2017, Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics : (Short Papers). Barzilay, R. & Kan, M-Y. (red.). Association for Computational Linguistics, Bind 2. s. 341-346 6 s.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)
Augenstein, Isabelle (red.), Gella, S. (red.), Ruder, S. (red.), Kann, K. (red.), Can, B. (red.), Conneau, A. (red.), Welbl, J. (red.), Ren, X. (red.) & Rei, M. (red.), 2020, Association for Computational Linguistics.Publikation: Bog/antologi/afhandling/rapport › Bog › Forskning › fagfællebedømt
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MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
Augenstein, Isabelle, Lioma, Christina, Wang, D., Chaves Lima, L., Hansen, C., Hansen, C. & Simonsen, Jakob Grue, 2019, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics, s. 4684-4697Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Determining the Credibility of Science Communication
Augenstein, Isabelle, 2021, Proceedings of the Second Workshop on Scholarly Document Processing. Association for Computational Linguistics (ACL), s. 1-6 6 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Proceedings of The Third Workshop on Representation Learning for NLP
Augenstein, Isabelle (red.), Cao, K. (red.), He, H. (red.), Hill, F. (red.), Gella, S. (red.), Kiros, J. (red.), Mei, H. (red.) & Misra , D., 2018, Proceedings of the Third Workshop: Representation Learning for NLP. Association for Computational Linguistics, 224 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Towards Explainable Fact Checking
Augenstein, Isabelle, 2021, Department of Computer Science, Faculty of Science, University of Copenhagen. 288 s.Publikation: Bog/antologi/afhandling/rapport › Doktordisputats › Forskning
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Multi3Generation: Multitask, Multilingual, Multimodal Language Generation
Barreiro, A., de Souza, J. G. C., Gatt, A., Bhatt, M., Lloret, E., Erdem, A., Gkatzia, D., Moniz, H., Russo, I., Kepler, F., Calixto, I., Paprzycki, M., Portet, F., Augenstein, Isabelle & Alhasani, M., 2022, Proceedings of the 23rd Annual Conference of the European Association for Machine Translation -EAMT 2022 . Macken, L., Rufener, A., Van den Bogaert, J., Daems, J., Tezcan, A., Vanroy, B., Fonteyne, M., Barrault, L., Costa-Jussa, M. R., Kemp, E., Pilos, S., Declercq, C., Declercq, C., Koponen, M., Forcada, M. L., Scarton, C. & Moniz, H. (red.). The European Association for Machine Translation, s. 347-348Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Domain Transfer in Dialogue Systems without Turn-Level Supervision
Bingel, J., Hansen, V. P. B., Gonzalez, Ana Valeria, Budzianowski, P., Augenstein, Isabelle & Søgaard, Anders, 2019. 12 s.Publikation: Konferencebidrag › Paper › Forskning
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SubjQA: A Dataset for Subjectivity and Review Comprehension
Bjerva, J., Bhutani, N., Golshan, B., Tan, W. & Augenstein, Isabelle, 2020, SUBJQA: A Dataset for Subjectivity and Review Comprehension. Association for Computational Linguistics, s. 5480-5494Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings
Bjerva, J. & Augenstein, Isabelle, 2018, Proceedings, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies : (Long Papers). Association for Computational Linguistics, Bind 1. s. 907-916 10 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Tracking Typological Traits of Uralic Languages in Distributed Language Representations
Bjerva, J. & Augenstein, Isabelle, 2018, Proceedings, Fourth International Workshop on Computational Linguistics for Uralic Languages. Association for Computational Linguistics, s. 78-88Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Transductive Auxiliary Task Self-Training for Neural Multi-Task Models
Bjerva, J., Kann, K. & Augenstein, Isabelle, 2019, Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo). Association for Computational Linguistics, s. 253–258Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Does typological blinding impede cross-lingual sharing?
Bjerva, J. & Augenstein, Isabelle, 2021, EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics, s. 480-486Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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A Probabilistic Generative Model of Linguistic Typology
Bjerva, J., Kementchedjhieva, Yova Radoslavova, Cotterell, R. & Augenstein, Isabelle, 2019, Proceedings of NAACL-HLT 2019. Association for Computational Linguistics, s. 1529–1540Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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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
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SIGTYP 2020 Shared Task: Prediction of Typological Features
Bjerva, J., Salesky, E., Mielke, S. J., Chaudhary, A., Giuseppe, C., Ponti, E. M., Vylomova, E., Cotterell, R. & Augenstein, Isabelle, 2020, Proceedings of the Second Workshop on Computational Research in Linguistic Typology. Association for Computational Linguistics, s. 1-11Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Back to the Future: Sequential Alignment of Text Representations
Bjerva, J., Kouw, W. M. & Augenstein, Isabelle, 2020, Proceedings of the 34th AAAI Conference on Artificial Intelligence. AAAI Press, 8 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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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
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Multilingual Event Extraction from Historical Newspaper Adverts
Borenstein, Nadav, Da Silva Perez, N. & Augenstein, Isabelle, 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Long Papers. Association for Computational Linguistics (ACL), Bind 1. s. 10304-10325Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Measuring Intersectional Biases in Historical Documents
Borenstein, Nadav, Stanczak, Karolina Ewa, Rolskov, T., da Silva Perez, N., Klein Kafer, Natacha & Augenstein, Isabelle, 2023, Findings of the 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023. Association for Computational Linguistics (ACL), Bind ACL 2023. s. 2711–2730Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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PHD: Pixel-Based Language Modeling of Historical Documents
Borenstein, Nadav, Rust, Phillip, Elliott, Desmond & Augenstein, Isabelle, 2023, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processin. Association for Computational Linguistics (ACL), s. 87–107Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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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
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Explaining Interactions Between Text Spans
Choudhury, S., Atanasova, Pepa Kostadinova & Augenstein, Isabelle, 2023, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), s. 12709-12730Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Joint emotion label space modeling for affect lexica
De Bruyne, L., Atanasova, Pepa Kostadinova & Augenstein, Isabelle, jan. 2022, I: Computer Speech and Language. 71, 20 s., 101257.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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Joint Emotion Label Space Modelling for Affect Lexica
De Bruyne, L., Atanasova, Pepa Kostadinova & Augenstein, Isabelle, 2019, I: arXiv.org. CoRR 2019, 24 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning
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Semantic Textual Similarity of Sentences with Emojis
Debnath, A., Pinnaparaju, N., Shrivastava, M., Varma, V. & Augenstein, Isabelle, 2020, The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, s. 426-430Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Invisible Women in Digital Diplomacy: A Multidimensional Framework for Online Gender Bias Against Women Ambassadors Worldwide
Golovchenko, Yevgeniy, Stanczak, Karolina Ewa, Adler-Nissen, Rebecca, Wangen, P. & Augenstein, Isabelle, 2023, arxiv.org, 59 s.Publikation: Working paper › Preprint › Forskning
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A strong baseline for question relevancy ranking
Gonzalez, Ana Valeria, Augenstein, Isabelle & Søgaard, Anders, 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, s. 4810–4815Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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A Survey on Stance Detection for Mis- and Disinformation Identification
Hardalov, M., Arora, Arnav, Nakov, P. & Augenstein, Isabelle, 2022, Findings of the Association for Computational Linguistics: NAACL 2022 - Findings. Association for Computational Linguistics (ACL), s. 1259-1277Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Cross-Domain Label-Adaptive Stance Detection
Hardalov, M., Arora, Arnav, Nakov, P. & Augenstein, Isabelle, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, s. 9011-9028Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training
Hardalov, M., Arora, Arnav, Nakov, P. & Augenstein, Isabelle, 2022, I: Proceedings of the International Joint Conference on Artificial Intelligence. 36, 10, s. 10729-10737.Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt
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Mapping (Dis-)Information Flow about the MH17 Plane Crash
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Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces
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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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