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ORCIDGabriella Skitalinskaya
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2020 – today
- 2024
[c13]Timon Ziegenbein, Gabriella Skitalinskaya, Alireza Bayat Makou, Henning Wachsmuth:
LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback. ACL (1) 2024: 4455-4476- [i5]Timon Ziegenbein, Gabriella Skitalinskaya, Alireza Bayat Makou, Henning Wachsmuth:
LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback. CoRR abs/2406.03363 (2024) - [i4]Filip Ilievski, Barbara Hammer, Frank van Harmelen, Benjamin Paassen, Sascha Saralajew, Ute Schmid, Michael Biehl, Marianna Bolognesi, Xin Luna Dong, Kiril Gashteovski, Pascal Hitzler, Giuseppe Marra, Pasquale Minervini, Martin Mundt, Axel-Cyrille Ngonga Ngomo, Alessandro Oltramari, Gabriella Pasi, Zeynep G. Saribatur, Luciano Serafini, John Shawe-Taylor, Vered Shwartz, Gabriella Skitalinskaya, Clemens Stachl, Gido M. van de Ven, Thomas Villmann:
Aligning Generalisation Between Humans and Machines. CoRR abs/2411.15626 (2024) - 2023
- [c12]Gabriella Skitalinskaya, Henning Wachsmuth:
To Revise or Not to Revise: Learning to Detect Improvable Claims for Argumentative Writing Support. ACL (1) 2023: 15799-15816 - [c11]Gabriella Skitalinskaya, Maximilian Spliethöver, Henning Wachsmuth:
Claim Optimization in Computational Argumentation. INLG 2023: 134-152 - [i3]Gabriella Skitalinskaya, Henning Wachsmuth:
To Revise or Not to Revise: Learning to Detect Improvable Claims for Argumentative Writing Support. CoRR abs/2305.16799 (2023) - 2022
- [c10]Gabriela Molina León, Gabriella Skitalinskaya, Nils Düpont, Jonas Klaff, Anton Schlegel, Hendrik Heuer, Andreas Breiter:
Co-Creating a Research Data Infrastructure with Social Policy Researchers. ECSCW 2022 - [i2]Gabriella Skitalinskaya, Maximilian Spliethöver, Henning Wachsmuth:
Claim Optimization in Computational Argumentation. CoRR abs/2212.08913 (2022) - 2021
- [c9]Gabriella Skitalinskaya
, Jonas Klaff, Henning Wachsmuth:
Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale. EACL 2021: 1718-1729 - [i1]Gabriella Skitalinskaya, Jonas Klaff, Henning Wachsmuth:
Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale. CoRR abs/2101.10250 (2021)
2010 – 2019
- 2019
- [c8]Gabriella Skitalinskaya, Jonas Klaff, Maximilian Spliethöver:
CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction. CLEF (Working Notes) 2019 - 2018
- [c7]Gabriella Skitalinskaya, John Cardiff:
Multilabel Text Classification of Unbalanced Datasets: Two-Pass NNMF. CICLing (2) 2018: 275-286 - [c6]Mikhail Alexandrov, Gabriella Skitalinskaya, John Cardiff, Olexiy Koshulko, Elena Shushkevich:
Classifiers for Yelp-Reviews Based on GMDH-Algorithms. CICLing (2) 2018: 412-430 - 2017
- [c5]Svetlana Popova, Gabriella Skitalinskaya:
Extended list of stop words: Does it work for keyphrase extraction from short texts? CSIT (1) 2017: 401-404 - [c4]Gabriella Skitalinskaya, Liliya Akhtyamova, John Cardiff:
Cross-genre Gender Identification in Russian Texts Using Topic Modeling Working Note: Team DUBL. FIRE (Working Notes) 2017: 17-19 - [c3]Gabriella Skitalinskaya, Mikhail Alexandrov, John Cardiff:
Comparison of Two-Pass Algorithms for Dynamic Topic Modeling Based on Matrix Decompositions. MICAI (2) 2017: 27-43 - 2016
- [c2]Javier Tejada, Mikhail Alexandrov, Gabriella Skitalinskaya, Dmitry Stefanovskiy:
Selection of Statistically Representative Subset from a Large Data Set. CIARP 2016: 476-483 - 2015
- [c1]Svetlana Popova, Gabriella Skitalinskaya, Ivan Khodyrev:
Estimating Keyphrases Popularity in Sampling Collections. OTM Workshops 2015: 481-491
Coauthor Index
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