Isabelle Augenstein

Isabelle Augenstein

Professor


  1. Published

    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. 7257-7272

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  2. Published

    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. 3256-3274

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  3. Published

    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. 1529–1540

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  4. Published

    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. 1259-1277

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  5. Published

    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. 4810–4815

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  6. Published

    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 proceedingArticle in proceedingsResearchpeer-review

  7. Published

    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 proceedingArticle in proceedingsResearchpeer-review

  8. Published

    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. 1620–1635

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  9. Published

    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. 1–11

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  10. Published

    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. 1796-1807

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  11. Published

    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. 476-488

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  12. Published

    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. 635-640

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  13. Published

    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. 93–98

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  14. Published

    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. 4716-4726

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  15. Published

    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. 9011-9028

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  16. Published

    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 proceedingArticle in proceedingsResearchpeer-review

  17. Published

    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 journalConference article

  18. Published

    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. 480-486

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  19. Published

    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 conferencePaperResearch

  20. Published

    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 proceedingArticle in proceedingsResearchpeer-review

  21. Published

    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 proceedingArticle in proceedingsResearchpeer-review

  22. Published

    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. 12709-12730

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  23. Published

    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 proceedingArticle in proceedingsResearchpeer-review

  24. Published

    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 journalConference articlepeer-review

  25. Published

    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 proceedingArticle in proceedingsResearchpeer-review

  26. Published

    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. 7352-7364

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  27. Published

    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. 3168-3177

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  28. Published

    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 Linguistics

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  29. Published

    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. 325-344

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  30. Published

    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. 122-129

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  31. Published

    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. 1401-1407

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  32. Published

    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. 25–30

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  33. Published

    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. 4822-4829

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  34. Published

    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 proceedingArticle in proceedingsResearch

  35. Published

    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. 78–93

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  36. Published

    Mapping (Dis-)Information Flow about the MH17 Plane Crash

    Hartmann, M., Golovchenko, Yevgeniy & Augenstein, Isabelle, 2019, p. 45-55.

    Research output: Contribution to conferencePaperResearch

  37. Published

    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 proceedingArticle in proceedingsResearchpeer-review

  38. Published

    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. 2711–2730

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  39. Published

    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 proceedingArticle in proceedingsResearch

  40. Published

    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 proceedingArticle in proceedingsResearchpeer-review

  41. Published

    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 proceedingArticle in proceedingsResearchpeer-review

  42. Published

    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 proceedingArticle in proceedingsResearchpeer-review

  43. Published

    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. 347-348

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  44. Published

    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. 4684-4697

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  45. Published

    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. 10304-10325

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  46. Published

    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. 11670–11688

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  47. Published

    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. 25–29

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  48. Published

    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. 87–107

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  49. Published

    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. 4992-4997

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  50. Published

    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. 10480-10504

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  51. Published

    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), p. 114-130

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  52. Published

    Proceedings of The Third Workshop on Representation Learning for NLP

    Augenstein, Isabelle (ed.), Cao, K. (ed.), He, H. (ed.), Hill, F. (ed.), Gella, S. (ed.), Kiros, J. (ed.), Mei, H. (ed.) & Misra , D., 2018, Proceedings of the Third Workshop: Representation Learning for NLP. Association for Computational Linguistics, 224 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  53. Published

    Retrieval-based Goal-Oriented Dialogue Generation

    Gonzalez, Ana Valeria, Augenstein, Isabelle & Søgaard, Anders, 2020. 11 p.

    Research output: Contribution to conferencePaperResearch

  54. Published

    Retrieval-based goal-directed dialogue generation

    Gonzalez, Ana Valeria, Augenstein, Isabelle & Søgaard, Anders, 2019. 11 p.

    Research output: Contribution to conferencePaperResearch

  55. Published

    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, p. 1-11

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  56. Published

    Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models

    Stanczak, Karolina Ewa, Ponti, E., Hennigen, L. T., Cotterell, R. & 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. 1589-1598

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  57. Published

    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, p. 426-430

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  58. Published

    Semi-Supervised Exaggeration Detection of Health Science Press Releases

    Wright, Dustin & Augenstein, Isabelle, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 10824-10836

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  59. Published

    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, p. 5480-5494

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  60. Published

    TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP

    Rethmeier, Nils, Saxena, V. K. & Augenstein, Isabelle, 2020, Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAII). Peters, J. & Sontag, D. (eds.). PMLR, p. 440-449 (Proceedings of Machine Learning Research, Vol. 124).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  61. Published

    TempEL: Linking Dynamically Evolving and Newly Emerging Entities

    Zaporojets, K., Kaffee, L. F., Deleu, J., Demeester, T., Develder, C. & Augenstein, Isabelle, 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). NeurIPS Proceedings, 17 p. (Advances in Neural Information Processing Systems, Vol. 35).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  62. Published

    Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing

    Kaffee, L., Arora, Arnav, Talat, Z. & Augenstein, Isabelle, 2023, Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics (ACL), p. 13977-13998

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  63. Published

    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), Vol. 1. p. 13448-13464

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  64. Published

    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, p. 78-88

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  65. Published

    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, p. 253–258

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  66. Published

    Transformer Based Multi-Source Domain Adaptation

    Wright, Dustin & Augenstein, Isabelle, 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, p. 7963-7974

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  67. Published

    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, p. 3924–3930

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  68. Published

    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, p. 1706-1716

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  69. Published

    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, p. 83-90

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  70. Published

    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, p. 1256-1262

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  71. Published

    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), p. 5891-5909

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  72. Published

    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, p. 265-274

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  73. Published

    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, p. 4547-4562

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  74. Published

    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. (eds.). National Institute of Standards and Technology (NIST), 16 p. (NIST Special Publication; No. 1266).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

ID: 180388519