Natalia Vanetik

55 papers A* 3B 7C 3Misc 2Journal 20Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A New Dataset for Keyword Extraction from IT Job Descriptions. ECIR (3) Nisan Fichman, Hadar Isaacson, Natalia Vanetik
2025	—	`conf`	Overview of the Multilingual Text Detoxification Task at PAN 2025. CLEF (Working Notes) Daryna Dementieva, Vitaly Protasov, Nikolay Babakov, Naquee Rizwan, Ilseyar Alimova, Caroline Brun, Vasily Konovalov, Arianna Muti, Chaya Liebeskind, Marina Litvak, Debora Nozza, Shehryaar Shah Khan, Sotaro Takeshita, Natalia Vanetik, Abinew Ali Ayele, Florian Schneider, Xintong Wang, Seid Muhie Yimam, Ashraf Elnagar, Animesh Mukherjee, Alexander Panchenko
2025	Misc	`conf`	Towards Safer Hebrew Communication: A Dataset for Offensive Language Detoxification. RANLP Natalia Vanetik, Lior Liberov, Marina Litvak, Chaya Liebeskind
2024	J	`jnl`	Early Ransomware Detection with Deep Learning Models. Future Internet Matan Davidian, Michael Kiperberg, Natalia Vanetik
2024	J	`jnl`	Genre Classification of Books in Russian with Stylometric Features: A Case Study. Inf. Natalia Vanetik, Margarita Tiamanova, Genady Kogan, Marina Litvak
2024	—	`conf`	Improving Factual Consistency in Abstractive Summarization with Sentence Structure Pruning. LREC/COLING 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
2024	J	`jnl`	Improving Factual Error Correction for Abstractive Summarization via Data Distillation and Conditional-generation Cloze. CoRR Yiyang Li, Lei Li, Dingxin Hu, Xueyi Hao, Marina Litvak, Natalia Vanetik, Yanquan Zhou
2023	—	`conf`	Cross-lingual Transfer Learning for Detecting Negative Campaign in Israeli Municipal Elections: a Case Study. Text2Story@ECIR Natalia Vanetik, Marina Litvak, Lin Miao
2023	J	`jnl`	Job Vacancy Ranking with Sentence Embeddings, Keywords, and Named Entities. Inf. Natalia Vanetik, Genady Kogan
2023	—	`conf`	NLP-based Screening for IT Job Vacancies: A Case Study. IACT@SIGIR Natalia Vanetik, Alona Kolesnev, Genady Kogan
2023	Misc	`conf`	Propaganda Detection in Russian Telegram Posts in the Scope of the Russian Invasion of Ukraine. RANLP Natalia Vanetik, Marina Litvak, Egor Reviakin, Margarita Tiamanova
2023	J	`jnl`	Sufficient Networks for Computing Support of Graph Patterns. Inf. Natalia Vanetik
2023	B	`conf`	Summarizing Financial Reports with Positional Language Model. IEEE Big Data Natalia Vanetik, Elizaveta Podkaminer, Marina Litvak
2023	C	`conf`	Teledermatologist: Automated Diagnosis of Skin Diseases with Image Recognition. VCIP Nadav Ishai, Dolev Peretz, Natalia Vanetik, Marina Litvak
2022	J	`jnl`	Detection of Racist Language in French Tweets. Inf. Natalia Vanetik, Elisheva Mimoun
2022	J	`jnl`	Graph support measures and flows. Soc. Netw. Anal. Min. Natalia Vanetik
2022	J	`jnl`	Just ClozE! A Fast and Simple Method for Evaluating the Factual Consistency in Abstractive Summarization. CoRR Yiyang Li, Lei Li, Qing Yang, Marina Litvak, Natalia Vanetik, Dingxin Hu, Yuze Li, Yanquan Zhou, Dongliang Xu, Xuanyu Zhang
2022	B	`conf`	Offensive language detection in Hebrew: can other languages help? LREC Marina Litvak, Natalia Vanetik, Chaya Liebeskind, Omar Hmdia, Rizek Abu Madeghem
2022	C	`conf`	Ransomware Detection with Deep Neural Networks. ICISSP Matan Davidian, Natalia Vanetik, Michael Kiperberg
2022	—	`conf`	SAPGraph: Structure-aware Extractive Summarization for Scientific Papers with Heterogeneous Graph. AACL/IJCNLP (1) Siya Qi, Lei Li, Yiyang Li, Jin Jiang, Dingxin Hu, Yuze Li, Yingqi Zhu, Yanquan Zhou, Marina Litvak, Natalia Vanetik
2021	J	`jnl`	Subjective Bias in Abstractive Summarization. CoRR Lei Li, Wei Liu, Marina Litvak, Natalia Vanetik, Jiacheng Pei, Yinan Liu, Siya Qi
2020	J	`jnl`	An unsupervised constrained optimization approach to compressive summarization. Inf. Sci. Natalia Vanetik, Marina Litvak, Elena Churkin, Mark Last
2020	J	`jnl`	Automated Discovery of Mathematical Definitions in Text with Deep Neural Networks. CoRR Natalia Vanetik, Marina Litvak, Sergey Shevchuk, Lior Reznik
2020	B	`conf`	Automated Discovery of Mathematical Definitions in Text. LREC Natalia Vanetik, Marina Litvak, Sergey Shevchuk, Lior Reznik
2019	—	`conf`	EASY: Evaluation System for Summarization. CICLing (2) Marina Litvak, Natalia Vanetik, Yael Veksler
2019	J	`jnl`	In Conclusion Not Repetition: Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes. CoRR Lei Li, Wei Liu, Marina Litvak, Natalia Vanetik, Zuying Huang
2019	B	`conf`	In Conclusion Not Repetition: Comprehensive Abstractive Summarization with Diversified Attention Based on Determinantal Point Processes. CoNLL Lei Li, Wei Liu, Marina Litvak, Natalia Vanetik, Zuying Huang
2019	—	`conf`	Quality-Diversity Summarization with Unsupervised Autoencoders. ICANN (4) Lei Li, Zuying Huang, Natalia Vanetik, Marina Litvak
2018	B	`conf`	DRIM: MDL-Based Approach for Fast Diverse Summarization. WI Natalia Vanetik, Marina Litvak
2018	B	`conf`	HEvaS: Headline Evaluation System. WI Marina Litvak, Natalia Vanetik, Itzhak Eretz Kdosha
2018	—	`conf`	Sentence Compression as a Supervised Learning with a Rich Feature Space. CICLing (2) Elena Churkin, Mark Last, Marina Litvak, Natalia Vanetik
2017	—	`conf`	Query-based summarization using MDL principle. MultiLing@EACL Marina Litvak, Natalia Vanetik
2017	—	`conf`	Summarizing Weibo with Topics Compression. CICLing (2) Marina Litvak, Natalia Vanetik, Lei Li
2016	—	`conf`	MUSEEC: A Multilingual Text Summarization Tool. ACL (System Demonstrations) Marina Litvak, Natalia Vanetik, Mark Last, Elena Churkin
2016	—	`conf`	What's up on Twitter? Catch up with TWIST! COLING (Demos) Marina Litvak, Natalia Vanetik, Efi Levi, Michael Roistacher
2015	—	`conf`	Improving Summarization Quality with Topic Modeling. TM@CIKM Marina Litvak, Natalia Vanetik, Chunlei Liu, Lemin Xiao, Onur Savas
2015	A*	`conf`	Krimping texts for better summarization. EMNLP Marina Litvak, Mark Last, Natalia Vanetik
2015	—	`conf`	Multilingual Summarization with Polytope Model. SIGDIAL Conference Natalia Vanetik, Marina Litvak
2014	J	`jnl`	Multi-document Summarization using Tensor Decomposition. Computación y Sistemas Marina Litvak, Natalia Vanetik
2014	J	`jnl`	Redundancy-weighting for better inference of protein structural features. Bioinform. Chen Yanover, Natalia Vanetik, Michael Levitt, Rachel Kolodny, Chen Keasar
2013	B	`conf`	Mining the Gaps: Towards Polynomial Summarization. IJCNLP Marina Litvak, Natalia Vanetik
2012	—	`conf`	Classification of Datasets with Frequent Itemsets is Wild. KDIR Natalia Vanetik
2012	J	`jnl`	On the fractionality of the path packing problem. J. Comb. Optim. Natalia Vanetik
2012	—	`conf`	Polytope Model for Extractive Summarization. KDIR Marina Litvak, Natalia Vanetik
2011	—	`conf`	A Fast Algorithm for Mining Graphs of Prescribed Connectivity. KDIR Natalia Vanetik
2011	—	`conf`	HashMax: A New Method for Mining Maximal Frequent Itemsets. KDIR Natalia Vanetik, Ehud Gudes
2011	C	`conf`	Mining Graphs of Prescribed Connectivity. IC3K Natalia Vanetik
2010	—	`conf`	Mining Graphs with Constraints on Symmetry and Diameter. WAIM Workshops Natalia Vanetik
2009	J	`jnl`	Path packing and a related optimization problem. J. Comb. Optim. Natalia Vanetik
2009	J	`jnl`	Subsea: an efficient heuristic algorithm for subgraph isomorphism. Data Min. Knowl. Discov. Vladimir Lipets, Natalia Vanetik, Ehud Gudes
2008	J	`jnl`	On fractionality of the path packing problem CoRR Natalia Vanetik
2006	J	`jnl`	Discovering Frequent Graph Patterns Using Disjoint Paths. IEEE Trans. Knowl. Data Eng. Ehud Gudes, Solomon Eyal Shimony, Natalia Vanetik
2006	J	`jnl`	Support measures for graph data. Data Min. Knowl. Discov. Natalia Vanetik, Solomon Eyal Shimony, Ehud Gudes
2004	A*	`conf`	Mining Frequent Labeled and Partially Labeled Graph Patterns. ICDE Natalia Vanetik, Ehud Gudes
2002	A*	`conf`	Computing Frequent Graph Patterns from Semistructured Data. ICDM Natalia Vanetik, Ehud Gudes, Solomon Eyal Shimony