Isabelle Augenstein
Professor
- 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. 426-430Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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. 10824-10836Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 5480-5494Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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 proceeding › Article in proceedings › Research › peer-review
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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 proceeding › Article in proceedings › Research › peer-review
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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. 13977-13998Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection
Arakelyan, Erik, Arora, Arnav & Augenstein, Isabelle, 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Long papers. Association for Computational Linguistics (ACL), Vol. 1. p. 13448-13464Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Tracking Typological Traits of Uralic Languages in Distributed Language Representations
Bjerva, J. & Augenstein, Isabelle, 2018, Proceedings, Fourth International Workshop on Computational Linguistics for Uralic Languages. Association for Computational Linguistics, p. 78-88Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Transductive Auxiliary Task Self-Training for Neural Multi-Task Models
Bjerva, J., Kann, K. & Augenstein, Isabelle, 2019, Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo). Association for Computational Linguistics, p. 253–258Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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. 7963-7974Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 180388519
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1507
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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)
Research output: Book/Report › Book › Research › peer-review
Published