Estimating Keyphrases Popularity in Sampling Collections. - Svetlana Popova; Gabriella Skitalinskaya; Ivan Khodyrev (OTM Workshops, 2015)

Selection of Statistically Representative Subset from a Large Data Set. - Javier Tejada; Mikhail Alexandrov; Gabriella Skitalinskaya; Dmitry Stefanovskiy (CIARP, 2016)

Extended list of stop words: Does it work for keyphrase extraction from short texts? - Svetlana Popova; Gabriella Skitalinskaya (CSIT (1), 2017)

Cross-genre Gender Identification in Russian Texts Using Topic Modeling Working Note: Team DUBL. - Gabriella Skitalinskaya; Liliya Akhtyamova; John Cardiff (FIRE (Working Notes), 2017)

Comparison of Two-Pass Algorithms for Dynamic Topic Modeling Based on Matrix Decompositions. - Gabriella Skitalinskaya; Mikhail Alexandrov; John Cardiff (MICAI (2), 2017)

Classifiers for Yelp-Reviews Based on GMDH-Algorithms. - Mikhail Alexandrov; Gabriella Skitalinskaya; John Cardiff; Olexiy Koshulko; Elena Shushkevich (CICLing (2), 2018)

Multilabel Text Classification of Unbalanced Datasets: Two-Pass NNMF. - Gabriella Skitalinskaya; John Cardiff (CICLing (2), 2018)

CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction. - Gabriella Skitalinskaya; Jonas Klaff; Maximilian Spliethöver (CLEF (Working Notes), 2019)

Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale. - Gabriella Skitalinskaya; Jonas Klaff; Henning Wachsmuth (EACL, 2021)

Co-Creating a Research Data Infrastructure with Social Policy Researchers. - Gabriela Molina León; Gabriella Skitalinskaya; Nils Düpont; Jonas Klaff; Anton Schlegel; Hendrik Heuer; Andreas Breiter (ECSCW, 2022)

To Revise or Not to Revise: Learning to Detect Improvable Claims for Argumentative Writing Support. - Gabriella Skitalinskaya; Henning Wachsmuth (ACL (1), 2023)

Claim Optimization in Computational Argumentation. - Gabriella Skitalinskaya; Maximilian Spliethöver; Henning Wachsmuth (INLG, 2023)

LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback. - Timon Ziegenbein; Gabriella Skitalinskaya; Alireza Bayat Makou; Henning Wachsmuth (ACL (1), 2024)

Aligning Generalisation Between Humans and Machines. - 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; et al. (CoRR, 2024)