Anne Lauscher
Cited by
Cited by
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
Specializing unsupervised pretraining models for word-level semantic similarity
A Lauscher, I Vulić, EM Ponti, A Korhonen, G Glavaš
COLING 2020, 2019
Are we consistently biased? multidimensional analysis of biases in distributional word vectors
A Lauscher, G Glavaš
*SEM 2019, 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
University of Mannheim@ CLSciSumm-17: Citation-Based Summarization of Scientific Articles Using Semantic Textual Similarity
A Lauscher, G Glavaš, K Eckert
BIRNDL@ SIGIR 2017, tba, 2017
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
An argument-annotated corpus of scientific publications
A Lauscher, G Glavaš, SP Ponzetto
Proceedings of the 5th Workshop on Argument Mining, 40-46, 2018
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
Linked open citation database: Enabling libraries to contribute to an open and interconnected citation graph
A Lauscher, K Eckert, L Galke, A Scherp, STR Rizvi, S Ahmed, A Dengel, ...
Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries …, 2018
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
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
Entities as topic labels: combining entity linking and labeled lda to improve topic interpretability and evaluability
A Lauscher, P Ruiz Fabo, F Nanni, SP Ponzetto
IJCoL. Italian Journal of Computational Linguistics 2 (2-2), 67-87, 2016
Arguminsci: A tool for analyzing argumentation and rhetorical aspects in scientific writing
A Lauscher, G Glavaš, K Eckert
Association for Computational Linguistics, 2018
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
The OpenCitations data model
M Daquino, S Peroni, D Shotton, G Colavizza, B Ghavimi, A Lauscher, ...
International Semantic Web Conference, 447-463, 2020
AraWEAT: Multidimensional analysis of biases in Arabic word embeddings
A Lauscher, R Takieddin, SP Ponzetto, G Glavaš
arXiv preprint arXiv:2011.01575, 2020
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
MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting
A Lauscher, B Ko, B Kuhl, S Johnson, D Jurgens, A Cohan, K Lo
arXiv preprint arXiv:2107.00414, 2021
Self-Supervised Learning for Visual Summary Identification in Scientific Publications
S Yamamoto, A Lauscher, SP Ponzetto, G Glavaš, S Morishima
arXiv preprint arXiv:2012.11213, 2020
Creating a Domain-diverse Corpus for Theory-based Argument Quality Assessment
L Ng, A Lauscher, J Tetreault, C Napoles
arXiv preprint arXiv:2011.01589, 2020
MinScIE: citation-centered open information extraction
A Lauscher, Y Song, K Gashteovski
2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 386-387, 2019
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