Isabelle Augenstein

Isabelle Augenstein

Professor

Medlem af:

    ORCID: 0000-0003-1562-7909

    Udgivelsesår:
    Alle
    1 - 50 ud af 106Pr. side: 50
    Sortering: Udgivelsesdato
    1. 2024
    2. Udgivet

      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

    3. 2023
    4. Udgivet

      A Latent-Variable Model for Intrinsic Probing

      Stanczak, Karolina Ewa, Torroba Hennigen, L., Williams, A., Cotterell, R. & Augenstein, Isabelle, 2023, I: AAAI Conference on Artificial Intelligence. 37, 11, s. 13591-13599

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    5. Udgivet

      A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned, and Perspectives

      Rethmeier, Nils & Augenstein, Isabelle, 2023, I: ACM Computing Surveys. 55, 10, 17 s., 203.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    6. 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

    7. Udgivet

      EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023

      Vlachos, A. (red.) & Augenstein, Isabelle (red.), 2023, Findings of the Association for Computational Linguistics: EACL 2023. Association for Computational Linguistics (ACL)

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    8. Udgivet

      EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference

      Vlachos, A. (red.) & Augenstein, Isabelle (red.), 2023, EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL)

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    9. Udgivet

      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. 12709-12730

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    10. Udgivet

      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

    11. Udgivet

      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 s.

      Publikation: Working paper › Preprint › Forskning

    12. Udgivet

      Introduction to the Special Issue on Truth and Trust Online

      Wright, Dustin, Papotti, P. & Augenstein, Isabelle, 2023, I: Journal of Data and Information Quality. 15, 1, 1.

      Publikation: Bidrag til tidsskrift › Leder › Forskning

    13. Udgivet

      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

    14. Udgivet

      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), s. 146-154 9 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    15. Udgivet

      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. 2711–2730

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    16. Udgivet

      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. 10304-10325

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    17. Udgivet

      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. 87–107

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    18. Udgivet

      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), s. 10480-10504

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    19. Udgivet

      Preface: Special issue on NLP approaches to offensive content online

      Zampieri, M., Augenstein, Isabelle, Krishnan, S., Melton, J. & Nakov, P., 2023, I: Natural Language Engineering. 29, 6, s. 1415 1 s.

      Publikation: Bidrag til tidsskrift › Leder › Forskning

    20. Udgivet

      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. 114-130

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    21. Udgivet

      QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension

      Rogers, Anna, Gardner, M. & Augenstein, Isabelle, 2023, I: ACM Computing Surveys. 55, 10, 45 s., 197.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    22. Udgivet

      Quantifying gender bias towards politicians in cross-lingual language models

      Stanczak, Karolina Ewa, Choudhury, S. R., Pimentel, T., Cotterell, R. & Augenstein, Isabelle, 2023, I: PLoS ONE. 18, 11 November, s. 1-24 e0277640.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    23. Udgivet

      Revisiting Softmax for Uncertainty Approximation in Text Classification

      Holm, Andreas Nugaard, Wright, Dustin & Augenstein, Isabelle, 2023, I: Information (Switzerland). 14, 7, 16 s., 420.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    24. Udgivet

      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), s. 13977-13998

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    25. Udgivet

      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. 13448-13464

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    26. Udgivet

      Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions

      Kaffee, L., Arora, Arnav & Augenstein, Isabelle, 2023, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), s. 5891-5909

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    27. 2022
    28. Udgivet

      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 s.

      Publikation: Working paper › Preprint › Forskning

    29. Udgivet

      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

    30. Udgivet

      A Neighborhood Framework for Resource-Lean Content Flagging

      Sarwar, S. M., Zlatkova, D., Hardalov, M., Dinkov, Y., Augenstein, Isabelle & Nakov, P., 2022, I: Transactions of the Association for Computational Linguistics. 10, s. 484-502

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    31. Udgivet

      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. 1259-1277

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    32. Udgivet

      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), s. 1620–1635

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    33. Udgivet

      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), s. 4716-4726

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    34. Udgivet

      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

    35. Udgivet

      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. 746-763

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    36. Udgivet

      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

    37. Udgivet

      Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing

      Jolly, S., Atanasova, Pepa Kostadinova & Augenstein, Isabelle, 2022, I: Information (Switzerland). 13, 10, s. 1-18 500.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    38. Udgivet

      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

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    39. Udgivet

      Habilitation Abstract: Towards Explainable Fact Checking

      Augenstein, Isabelle, 2022, I: KI - Künstliche Intelligenz. 36, s. 255–258

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    40. Udgivet

      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, I: Information Fusion. 79, s. 263-278 16 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    41. Udgivet

      Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data

      Rethmeier, Nils & Augenstein, Isabelle, 2022, I: Computer Sciences & Mathematics Forum . 3, 18 s., 10.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    42. Udgivet

      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 s. (CEUR Workshop Proceedings).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning

    43. Udgivet

      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), s. 78–93

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    44. Udgivet

      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, s. 1783-1807 25 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning

    45. Udgivet

      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. 347-348

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    46. Udgivet

      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), s. 11670–11688

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    47. Udgivet

      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

    48. Udgivet

      Quantifying gender biases towards politicians on Reddit

      Marjanovic, Sara Vera, Stanczak, Karolina Ewa & Augenstein, Isabelle, 2022, I: PLoS ONE. 17, 10 October, s. 1-36 e0274317.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    49. Udgivet

      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), s. 1589-1598

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    50. Udgivet

      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 s. (Advances in Neural Information Processing Systems, Bind 35).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    51. 2021
    52. Udgivet

      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, s. 1796-1807

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    53. Udgivet

      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. 9011-9028

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    54. Udgivet

      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

    Forrige 1 2 3 Næste

    ID: 180388519