Isabelle Augenstein
Professor
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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, p. 7257-7272Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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, p. 3256-3274Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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A Latent-Variable Model for Intrinsic Probing
Stanczak, Karolina Ewa, Hennigen, L. T., Williams, A., Cotterell, R. & Augenstein, Isabelle, 20 Jan 2022, arxiv.org, 15 p.Research output: Working paper › Preprint
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A Latent-Variable Model for Intrinsic Probing
Stanczak, Karolina Ewa, Torroba Hennigen, L., Williams, A., Cotterell, R. & Augenstein, Isabelle, 2023, In: AAAI Conference on Artificial Intelligence. 37, 11, p. 13591-13599Research output: Contribution to journal › Journal article › Research › peer-review
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A Neighborhood Framework for Resource-Lean Content Flagging
Sarwar, S. M., Zlatkova, D., Hardalov, M., Dinkov, Y., Augenstein, Isabelle & Nakov, P., 2022, In: Transactions of the Association for Computational Linguistics. 10, p. 484-502Research output: Contribution to journal › Journal article › Research › peer-review
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A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned, and Perspectives
Rethmeier, Nils & Augenstein, Isabelle, 2023, In: ACM Computing Surveys. 55, 10, 17 p., 203.Research output: Contribution to journal › Journal article › Research › peer-review
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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, p. 1529–1540Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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), p. 1259-1277Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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, p. 4810–4815Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Can Edge Probing Tests Reveal Linguistic Knowledge in QA Models?
Ray Choudhury, S., Bhutani, N. & Augenstein, Isabelle, 2022, Proceedings of the 29th International Conference on Computational Linguistics. Association for Computational Linguistics (ACL), p. 1620–1635Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Character-level Supervision for Low-resource POS Tagging
Kann, K., Bjerva, J., Augenstein, Isabelle, Plank, B. & Søgaard, Anders, 2018, Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP. Association for Computational Linguistics, p. 1–11Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding
Wright, Dustin & Augenstein, Isabelle, 2021, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics, p. 1796-1807Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Claim Check-Worthiness Detection as Positive Unlabelled Learning
Wright, Dustin & Augenstein, Isabelle, 2020, Findings of the Association for Computational Linguistics: EMNLP 2020. Association for Computational Linguistics, p. 476-488Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Combining Sentiment Lexica with a Multi-View Variational Autoencoder
Hoyle, A. M., Wolf-sonkin, L., Wallach, H., Cotterell, R. & Augenstein, Isabelle, 2019, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics, p. 635-640Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Copenhagen at CoNLL–SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding
Kementchedjhieva, Yova Radoslavova, Bjerva, J. & Augenstein, Isabelle, 2018, Proceedings of the CoNLL SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection . Association for Computational Linguistics, p. 93–98Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection
Sen, I., Samory, M., Wagner, C. & Augenstein, Isabelle, 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics (ACL), p. 4716-4726Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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, p. 9011-9028Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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, In: ACM Computing Surveys. 56, 3, p. 1-17 72.Research output: Contribution to journal › Journal article › Research › peer-review
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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), p. 1-6 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Diagnostics-Guided Explanation Generation
Atanasova, Pepa Kostadinova, Simonsen, Jakob Grue, Lioma, Christina & Augenstein, Isabelle, 2022, In: Proceedings of the International Joint Conference on Artificial Intelligence. 36, 10, p. 10445-10453.Research output: Contribution to journal › Conference article › Research
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Discourse-aware rumour stance classification in social media using sequential classifiers
Zubiaga, A., Kochkina, E., Liakata, M., Procter, R., Lukasik, M., Bontcheva, K., Cohn, T. & Augenstein, Isabelle, Mar 2018, In: Information Processing & Management. 54, 2, p. 273-290Research output: Contribution to journal › Journal article › Research › peer-review
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Disembodied Machine Learning: On the Illusion of Objectivity in NLP
Waseem, Z., Lulz, S., Bingel, J. & Augenstein, Isabelle, 2020, In: OpenReview.net. 7 p.Research output: Contribution to journal › Journal article › Research
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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, p. 480-486Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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 p.Research output: Contribution to conference › Paper › Research
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EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023
Vlachos, A. (ed.) & Augenstein, Isabelle (ed.), 2023, Findings of the Association for Computational Linguistics: EACL 2023. Association for Computational Linguistics (ACL)Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference
Vlachos, A. (ed.) & Augenstein, Isabelle (ed.), 2023, EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL)Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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), p. 12709-12730Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Fact Checking with Insufficient Evidence
Atanasova, Pepa Kostadinova, Simonsen, Jakob Grue, Lioma, Christina & Augenstein, Isabelle, 2022, In: Transactions of the Association for Computational Linguistics. 10, p. 746-763Research output: Contribution to journal › Journal article › Research › peer-review
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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), p. 283-294 12 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training
Hardalov, M., Arora, Arnav, Nakov, P. & Augenstein, Isabelle, 2022, In: Proceedings of the International Joint Conference on Artificial Intelligence. 36, 10, p. 10729-10737.Research output: Contribution to journal › Conference article › Research › peer-review
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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, Vol. 1. p. 907-916 10 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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, p. 7352-7364Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing
Jolly, S., Atanasova, Pepa Kostadinova & Augenstein, Isabelle, 2022, In: Information (Switzerland). 13, 10, p. 1-18 500.Research output: Contribution to journal › Journal article › Research › peer-review
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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, p. 3168-3177Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Generating Scientific Claims for Zero-Shot Scientific Fact Checking
Wright, Dustin, Wadden, D., Lo, K., Kuehl, B., Cohan, A., Augenstein, Isabelle & Wang, L. L., 2022, Generating Scientific Claims for Zero-Shot Scientific Fact Checking. Association for Computational LinguisticsResearch output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Grammatical Gender's Influence on Distributional Semantics: A Causal Perspective
Stanczak, Karolina Ewa, Du, K., Williams, A., Augenstein, Isabelle & Cotterell, R., 2023, arxiv.org, 12 p.Research output: Working paper › Preprint
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Habilitation Abstract: Towards Explainable Fact Checking
Augenstein, Isabelle, 2022, In: KI - Künstliche Intelligenz. 36, p. 255–258Research output: Contribution to journal › Journal article › Research › peer-review
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How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs?
Sen, I., Samory, M., Flöck, F., Wagner, C. & Augenstein, Isabelle, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 325-344Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Inducing Language-Agnostic Multilingual Representations
Zhao, W., Eger, S., Bjerva, J. & Augenstein, Isabelle, 2020, In: arXiv.org. CoRR 2020, 12 p.Research output: Contribution to journal › Journal article › Research
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Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence
Holzinger, A., Dehmer, M., Emmert-Streib, F., Cucchiara, R., Augenstein, Isabelle, Ser, J. D., Samek, W., Jurisica, I. & Díaz-Rodríguez, N., 2022, In: Information Fusion. 79, p. 263-278 16 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Introduction to the Special Issue on Truth and Trust Online
Wright, Dustin, Papotti, P. & Augenstein, Isabelle, 2023, In: Journal of Data and Information Quality. 15, 1, 1.Research output: Contribution to journal › Editorial › Research
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Is Sparse Attention more Interpretable?
Meister, C., Lazov, S., Augenstein, Isabelle & Cotterell, R., 2021, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). Association for Computational Linguistics, p. 122-129Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Issue Framing in Online Discussion Fora
Hartmann, M., Jansen, T., Augenstein, Isabelle & Søgaard, Anders, 2019, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics, p. 1401-1407Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Jack the Reader – A Machine Reading Framework
Weissenborn, D., Minervini, P., Dettmers, T., Augenstein, Isabelle, Welbl, J., Rocktäschel, T., Bošnjak, M., Mitchell, J., Demeester, T., Stenetorp, P. & Riedel, S., 2018, Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics-System Demonstrations. Association for Computational Linguistics, p. 25–30Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Joint Emotion Label Space Modelling for Affect Lexica
De Bruyne, L., Atanasova, Pepa Kostadinova & Augenstein, Isabelle, 2019, In: arXiv.org. CoRR 2019, 24 p.Research output: Contribution to journal › Journal article › Research
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Joint emotion label space modeling for affect lexica
De Bruyne, L., Atanasova, Pepa Kostadinova & Augenstein, Isabelle, Jan 2022, In: Computer Speech and Language. 71, 20 p., 101257.Research output: Contribution to journal › Journal article › Research › peer-review
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Latent Multi-Task Architecture Learning
Ruder, S., Bingel, J., Augenstein, Isabelle & Søgaard, Anders, 2019, Proceedings of 33nd AAAI Conference on Artificial Intelligence, AAAI 2019. AAAI Press, p. 4822-4829Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 180388519
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Mapping (Dis-)Information Flow about the MH17 Plane Crash
Research output: Contribution to conference › Paper › Research
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344
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Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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229
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Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)
Research output: Book/Report › Book › Research › peer-review
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