Computing Frequent Graph Patterns from Semistructured Data. - Natalia Vanetik; Ehud Gudes; Solomon Eyal Shimony (ICDM, 2002)

Mining Frequent Labeled and Partially Labeled Graph Patterns. - Natalia Vanetik; Ehud Gudes (ICDE, 2004)

Support measures for graph data. - Natalia Vanetik; Solomon Eyal Shimony; Ehud Gudes (Data Min. Knowl. Discov., 2006)

Discovering Frequent Graph Patterns Using Disjoint Paths. - Ehud Gudes; Solomon Eyal Shimony; Natalia Vanetik (IEEE Trans. Knowl. Data Eng., 2006)

Subsea: an efficient heuristic algorithm for subgraph isomorphism. - Vladimir Lipets; Natalia Vanetik; Ehud Gudes (Data Min. Knowl. Discov., 2009)

Path packing and a related optimization problem. - Natalia Vanetik (J. Comb. Optim., 2009)

Mining Graphs with Constraints on Symmetry and Diameter. - Natalia Vanetik (WAIM Workshops, 2010)

A Fast Algorithm for Mining Graphs of Prescribed Connectivity. - Natalia Vanetik (KDIR, 2011)

Mining Graphs of Prescribed Connectivity. - Natalia Vanetik (IC3K, 2011)

HashMax: A New Method for Mining Maximal Frequent Itemsets. - Natalia Vanetik; Ehud Gudes (KDIR, 2011)

Polytope Model for Extractive Summarization. - Marina Litvak; Natalia Vanetik (KDIR, 2012)

Classification of Datasets with Frequent Itemsets is Wild. - Natalia Vanetik (KDIR, 2012)

On the fractionality of the path packing problem. - Natalia Vanetik (J. Comb. Optim., 2012)

Mining the Gaps: Towards Polynomial Summarization. - Marina Litvak; Natalia Vanetik (IJCNLP, 2013)

Redundancy-weighting for better inference of protein structural features. - Chen Yanover; Natalia Vanetik; Michael Levitt 001; Rachel Kolodny; Chen Keasar (Bioinform., 2014)

Multi-document Summarization using Tensor Decomposition. - Marina Litvak; Natalia Vanetik (Computación y Sistemas, 2014)

Improving Summarization Quality with Topic Modeling. - Marina Litvak; Natalia Vanetik; Chunlei Liu 008; Lemin Xiao; Onur Savas (TM@CIKM, 2015)

Krimping texts for better summarization. - Marina Litvak; Mark Last; Natalia Vanetik (EMNLP, 2015)

Multilingual Summarization with Polytope Model. - Natalia Vanetik; Marina Litvak (SIGDIAL Conference, 2015)

MUSEEC: A Multilingual Text Summarization Tool. - Marina Litvak; Natalia Vanetik; Mark Last; Elena Churkin (ACL (System Demonstrations), 2016)

What's up on Twitter? Catch up with TWIST! - Marina Litvak; Natalia Vanetik; Efi Levi; Michael Roistacher (COLING (Demos), 2016)

Query-based summarization using MDL principle. - Marina Litvak; Natalia Vanetik (MultiLing@EACL, 2017)

Summarizing Weibo with Topics Compression. - Marina Litvak; Natalia Vanetik; Lei Li 009 (CICLing (2), 2017)

Sentence Compression as a Supervised Learning with a Rich Feature Space. - Elena Churkin; Mark Last; Marina Litvak; Natalia Vanetik (CICLing (2), 2018)

HEvaS: Headline Evaluation System. - Marina Litvak; Natalia Vanetik; Itzhak Eretz Kdosha (WI, 2018)

DRIM: MDL-Based Approach for Fast Diverse Summarization. - Natalia Vanetik; Marina Litvak (WI, 2018)

EASY: Evaluation System for Summarization. - Marina Litvak; Natalia Vanetik; Yael Veksler (CICLing (2), 2019)

In Conclusion Not Repetition: Comprehensive Abstractive Summarization with Diversified Attention Based on Determinantal Point Processes. - Lei Li 009; Wei Liu 161; Marina Litvak; Natalia Vanetik; Zuying Huang (CoNLL, 2019)

Quality-Diversity Summarization with Unsupervised Autoencoders. - Lei Li 009; Zuying Huang; Natalia Vanetik; Marina Litvak (ICANN (4), 2019)

Automated Discovery of Mathematical Definitions in Text. - Natalia Vanetik; Marina Litvak; Sergey Shevchuk; Lior Reznik (LREC, 2020)

Automated Discovery of Mathematical Definitions in Text with Deep Neural Networks. - Natalia Vanetik; Marina Litvak; Sergey Shevchuk; Lior Reznik (CoRR, 2020)

An unsupervised constrained optimization approach to compressive summarization. - Natalia Vanetik; Marina Litvak; Elena Churkin; Mark Last (Inf. Sci., 2020)

Subjective Bias in Abstractive Summarization. - Lei Li 009; Wei Liu 161; Marina Litvak; Natalia Vanetik; Jiacheng Pei; Yinan Liu; Siya Qi (CoRR, 2021)

Ransomware Detection with Deep Neural Networks. - Matan Davidian; Natalia Vanetik; Michael Kiperberg (ICISSP, 2022)

SAPGraph: Structure-aware Extractive Summarization for Scientific Papers with Heterogeneous Graph. - Siya Qi; Lei Li 009; Yiyang Li; Jin Jiang; Dingxin Hu; Yuze Li; Yingqi Zhu; Yanquan Zhou; Marina Litvak; Natalia Vanetik (AACL/IJCNLP (1), 2022)

Offensive language detection in Hebrew: can other languages help? - Marina Litvak; Natalia Vanetik; Chaya Liebeskind; Omar Hmdia; Rizek Abu Madeghem (LREC, 2022)

Just ClozE! A Fast and Simple Method for Evaluating the Factual Consistency in Abstractive Summarization. - Yiyang Li; Lei Li 009; Qing Yang 033; Marina Litvak; Natalia Vanetik; Dingxin Hu; Yuze Li; Yanquan Zhou; Dongliang Xu; Xuanyu Zhang (CoRR, 2022)

Detection of Racist Language in French Tweets. - Natalia Vanetik; Elisheva Mimoun (Inf., 2022)

Graph support measures and flows. - Natalia Vanetik (Soc. Netw. Anal. Min., 2022)

Summarizing Financial Reports with Positional Language Model. - Natalia Vanetik; Elizaveta Podkaminer; Marina Litvak (IEEE Big Data, 2023)

Cross-lingual Transfer Learning for Detecting Negative Campaign in Israeli Municipal Elections: a Case Study. - Natalia Vanetik; Marina Litvak; Lin Miao (Text2Story@ECIR, 2023)

NLP-based Screening for IT Job Vacancies: A Case Study. - Natalia Vanetik; Alona Kolesnev; Genady Kogan (IACT@SIGIR, 2023)

Propaganda Detection in Russian Telegram Posts in the Scope of the Russian Invasion of Ukraine. - Natalia Vanetik; Marina Litvak; Egor Reviakin; Margarita Tiamanova (RANLP, 2023)

Teledermatologist: Automated Diagnosis of Skin Diseases with Image Recognition. - Nadav Ishai; Dolev Peretz; Natalia Vanetik; Marina Litvak (VCIP, 2023)

Sufficient Networks for Computing Support of Graph Patterns. - Natalia Vanetik (Inf., 2023)

Job Vacancy Ranking with Sentence Embeddings, Keywords, and Named Entities. - Natalia Vanetik; Genady Kogan (Inf., 2023)

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 033; Dongliang Xu; Yanquan Zhou; Lei Li 009; Yuze Li; et al. (LREC/COLING, 2024)

Improving Factual Error Correction for Abstractive Summarization via Data Distillation and Conditional-generation Cloze. - Yiyang Li; Lei Li 009; Dingxin Hu; Xueyi Hao; Marina Litvak; Natalia Vanetik; Yanquan Zhou (CoRR, 2024)

Genre Classification of Books in Russian with Stylometric Features: A Case Study. - Natalia Vanetik; Margarita Tiamanova; Genady Kogan; Marina Litvak (Inf., 2024)

Early Ransomware Detection with Deep Learning Models. - Matan Davidian; Michael Kiperberg; Natalia Vanetik (Future Internet, 2024)

A New Dataset for Keyword Extraction from IT Job Descriptions. - Nisan Fichman; Hadar Isaacson; Natalia Vanetik (ECIR (3), 2025)