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 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
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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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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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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 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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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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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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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
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Longitudinal Citation Prediction using Temporal Graph Neural Networks
Holm, Andreas Nugaard, Plank, B., Wright, Dustin & Augenstein, Isabelle, 2022, Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence (AAAI 2022). CEUR, 8 p. (CEUR Workshop Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
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Machine Reading, Fast and Slow: When Do Models “Understand” Language?
Ray Choudhury, S., Rogers, Anna & Augenstein, Isabelle, 2022, Proceedings of the 29th International Conference on Computational Linguistics. Association for Computational Linguistics (ACL), p. 78–93Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Mapping (Dis-)Information Flow about the MH17 Plane Crash
Hartmann, M., Golovchenko, Yevgeniy & Augenstein, Isabelle, 2019, p. 45-55.Research output: Contribution to conference › Paper › Research
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Measuring Gender Bias in West Slavic Language Models
Martinková, S., Stańczak, K. & Augenstein, Isabelle, 2023, EACL 2023 - 9th Workshop on Slavic Natural Language Processing, Proceedings of the SlavicNLP 2023. Association for Computational Linguistics (ACL), p. 146-154 9 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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), Vol. ACL 2023. p. 2711–2730Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Modeling Information Change in Science Communication with Semantically Matched Paraphrases
Wright, Dustin, Pei, J., Jurgens, D. & Augenstein, Isabelle, 2022, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 1783-1807 25 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
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Multi-Hop Fact Checking of Political Claims
Ostrowski, W., Arora, Arnav, Atanasova, Pepa Kostadinova & Augenstein, Isabelle, 2021, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence, Vol. CoRR 2020. p. 3892-3898 (arXiv.org).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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. (eds.). Association for Computational Linguistics, Vol. 2. p. 341-346 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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, Vol. 1. p. 1896–1906 11 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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. (eds.). The European Association for Machine Translation, p. 347-348Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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, p. 4684-4697Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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), Vol. 1. p. 10304-10325Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings
Ostendorff, M., Rethmeier, Nils, Augenstein, Isabelle, Gipp, B. & Rehm, G., 2022, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), p. 11670–11688Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Nightmare at test time: How punctuation prevents parsers from generalizing
Søgaard, Anders, Lhoneux, M. D. & Augenstein, Isabelle, 2018, Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP . Association for Computational Linguistics, p. 25–29Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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), p. 87–107Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Parameter sharing between dependency parsers for related languages
Lhoneux, M. D., Bjerva, J., Augenstein, Isabelle & Søgaard, Anders, 2020, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, p. 4992-4997Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection
Sen, I., Assenmacher, D., Samory, M., Augenstein, Isabelle, Aalst, W. & Wagner, C., 2023, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), p. 10480-10504Research 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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342
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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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224
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Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)
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