| 2026 | DATA | Towards Fine-Grained Emotion Detection in Hebrew: Dataset Creation and Evaluation. | Natalia Vanetik, Shilat Haya Yosefi, Keturah Shlomo |
| 2025 | ECIR | A New Dataset for Keyword Extraction from IT Job Descriptions. | Nisan Fichman, Hadar Isaacson, Natalia Vanetik |
| 2025 | RANLP | Towards Safer Hebrew Communication: A Dataset for Offensive Language Detoxification. | Natalia Vanetik, Lior Liberov, Marina Litvak, Chaya Liebeskind |
| 2024 | COLING | Improving Factual Consistency in Abstractive Summarization with Sentence Structure Pruning. | Dingxin Hu, Xuanyu Zhang, Xingyue Zhang, Yiyang Li, Dongsheng Chen, Marina Litvak, Natalia Vanetik, Qing Yang, Dongliang Xu, Yanquan Zhou, Lei Li, Yuze Li, Yingqi Zhu |
| 2023 | ECIR | Cross-lingual Transfer Learning for Detecting Negative Campaign in Israeli Municipal Elections: a Case Study. | Natalia Vanetik, Marina Litvak, Lin Miao |
| 2023 | RANLP | Propaganda Detection in Russian Telegram Posts in the Scope of the Russian Invasion of Ukraine. | Natalia Vanetik, Marina Litvak, Egor Reviakin, Margarita Tiamanova |
| 2023 | VCIP | Teledermatologist: Automated Diagnosis of Skin Diseases with Image Recognition. | Nadav Ishai, Dolev Peretz, Natalia Vanetik, Marina Litvak |
| 2022 | ICISSP | Ransomware Detection with Deep Neural Networks. | Matan Davidian, Natalia Vanetik, Michael Kiperberg |
| 2022 | IJCNLP | SAPGraph: Structure-aware Extractive Summarization for Scientific Papers with Heterogeneous Graph. | Siya Qi, Lei Li, Yiyang Li, Jin Jiang, Dingxin Hu, Yuze Li, Yingqi Zhu, Yanquan Zhou, Marina Litvak, Natalia Vanetik |
| 2022 | LREC | Offensive language detection in Hebrew: can other languages help? | Marina Litvak, Natalia Vanetik, Chaya Liebeskind, Omar Hmdia, Rizek Abu Madeghem |
| 2020 | LREC | Automated Discovery of Mathematical Definitions in Text. | Natalia Vanetik, Marina Litvak, Sergey Shevchuk, Lior Reznik |
| 2019 | CICLING | EASY: Evaluation System for Summarization. | Marina Litvak, Natalia Vanetik, Yael Veksler |
| 2019 | CoNLL | In Conclusion Not Repetition: Comprehensive Abstractive Summarization with Diversified Attention Based on Determinantal Point Processes. | Lei Li, Wei Liu, Marina Litvak, Natalia Vanetik, Zuying Huang |
| 2019 | ICANN | Quality-Diversity Summarization with Unsupervised Autoencoders. | Lei Li, Zuying Huang, Natalia Vanetik, Marina Litvak |
| 2018 | CICLING | Sentence Compression as a Supervised Learning with a Rich Feature Space. | Elena Churkin, Mark Last, Marina Litvak, Natalia Vanetik |
| 2017 | CICLING | Summarizing Weibo with Topics Compression. | Marina Litvak, Natalia Vanetik, Lei Li |
| 2016 | ACL | MUSEEC: A Multilingual Text Summarization Tool. | Marina Litvak, Natalia Vanetik, Mark Last, Elena Churkin |
| 2016 | COLING | What's up on Twitter? Catch up with TWIST! | Marina Litvak, Natalia Vanetik, Efi Levi, Michael Roistacher |
| 2015 | CIKM | Improving Summarization Quality with Topic Modeling. | Marina Litvak, Natalia Vanetik, Chunlei Liu, Lemin Xiao, Onur Savas |
| 2015 | EMNLP | Krimping texts for better summarization. | Marina Litvak, Mark Last, Natalia Vanetik |
| 2015 | SIGdial | Multilingual Summarization with Polytope Model. | Natalia Vanetik, Marina Litvak |
| 2013 | IJCNLP | Mining the Gaps: Towards Polynomial Summarization. | Marina Litvak, Natalia Vanetik |
| 2012 | IC3K | Polytope Model for Extractive Summarization. | Marina Litvak, Natalia Vanetik |
| 2012 | IC3K | Classification of Datasets with Frequent Itemsets is Wild. | Natalia Vanetik |
| 2011 | IC3K | A Fast Algorithm for Mining Graphs of Prescribed Connectivity. | Natalia Vanetik |
| 2011 | IC3K | Mining Graphs of Prescribed Connectivity. | Natalia Vanetik |
| 2011 | IC3K | HashMax: A New Method for Mining Maximal Frequent Itemsets. | Natalia Vanetik, Ehud Gudes |
| 2004 | ICDE | Mining Frequent Labeled and Partially Labeled Graph Patterns. | Natalia Vanetik, Ehud Gudes |
| 2002 | ICDM | Computing Frequent Graph Patterns from Semistructured Data. | Natalia Vanetik, Ehud Gudes, Solomon Eyal Shimony |