Követés
Anne Lauscher
Anne Lauscher
Professor of Data Science at the University of Hamburg
E-mail megerősítve itt: uni-hamburg.de - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
From zero to hero: On the limitations of zero-shot cross-lingual transfer with multilingual transformers
A Lauscher, V Ravishankar, I Vulić, G Glavaš
EMNLP 2020, 2020
3512020
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models
S Barikeri, A Lauscher, I Vulić, G Glavaš
ACL 2021, 2021
1852021
Sustainable modular debiasing of language models
A Lauscher, T Lüken, G Glavaš
Findings of EMNLP 2021, 2021
1452021
Specializing unsupervised pretraining models for word-level semantic similarity
A Lauscher, I Vulić, EM Ponti, A Korhonen, G Glavaš
COLING 2020, 2019
119*2019
Common sense or world knowledge? investigating adapter-based knowledge injection into pretrained transformers
A Lauscher, O Majewska, LFR Ribeiro, I Gurevych, N Rozanov, G Glavaš
DeeLIO 2020, 2020
962020
A general framework for implicit and explicit debiasing of distributional word vector spaces
A Lauscher, G Glavaš, SP Ponzetto, I Vulić
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8131-8138, 2020
752020
An argument-annotated corpus of scientific publications
A Lauscher, G Glavaš, SP Ponzetto
ArgMining 2018, 40-46, 2018
712018
Measuring harmful sentence completion in language models for LGBTQIA+ individuals
D Nozza, F Bianchi, A Lauscher, D Hovy
Proceedings of the Second Workshop on Language Technology for Equality …, 2022
702022
Are we consistently biased? multidimensional analysis of biases in distributional word vectors
A Lauscher, G Glavaš
*SEM 2019, 2019
702019
Welcome to the Modern World of Pronouns: Identity-Inclusive Natural Language Processing beyond Gender
A Lauscher, A Crowley, D Hovy
COLING 2022, 2022
652022
Rhetoric, logic, and dialectic: Advancing theory-based argument quality assessment in natural language processing
A Lauscher, L Ng, C Napoles, J Tetreault
COLING 2020, 2020
532020
MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting
A Lauscher, B Ko, B Kuehl, S Johnson, D Jurgens, A Cohan, K Lo
NAACL 2022, 2021
472021
ArguminSci: A tool for analyzing argumentation and rhetorical aspects in scientific writing
A Lauscher, G Glavaš, K Eckert
Proceedings of the 5th Workshop on Argument Mining, 22-28, 2018
422018
Sensitivity, performance, robustness: Deconstructing the effect of sociodemographic prompting
T Beck, H Schuff, A Lauscher, I Gurevych
Proceedings of the 18th Conference of the European Chapter of the …, 2024
41*2024
Investigating convolutional networks and domain-specific embeddings for semantic classification of citations
A Lauscher, G Glavaš, SP Ponzetto, K Eckert
Proceedings of the 6th international workshop on mining scientific …, 2017
372017
Multi2WOZ: A robust multilingual dataset and conversational pretraining for task-oriented dialog
CC Hung, A Lauscher, I Vulić, SP Ponzetto, G Glavaš
NAACL 2022, 2022
332022
The OpenCitations data model
M Daquino, S Peroni, D Shotton, G Colavizza, B Ghavimi, A Lauscher, ...
International semantic web conference, 447-463, 2020
332020
Investigating the role of argumentation in the rhetorical analysis of scientific publications with neural multi-task learning models
A Lauscher, G Glavaš, SP Ponzetto, K Eckert
EMNLP 2018, 3326-3338, 2018
322018
Scientia Potentia Est--On the Role of Knowledge in Computational Argumentation
A Lauscher, H Wachsmuth, I Gurevych, G Glavaš
arXiv preprint arXiv:2107.00281 (Accepted for Transactions of ACL), 2021
302021
AraWEAT: Multidimensional analysis of biases in Arabic word embeddings
A Lauscher, R Takieddin, SP Ponzetto, G Glavaš
arXiv preprint arXiv:2011.01575, 2020
282020
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Cikkek 1–20