Natalia Vanetik

According to our database, Natalia Vanetik authored at least 50 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Early Ransomware Detection with Deep Learning Models.

Matan Davidian, Michael Kiperberg, Natalia Vanetik

Future Internet, August, 2024

Genre Classification of Books in Russian with Stylometric Features: A Case Study.

Natalia Vanetik, Margarita Tiamanova, Genady Kogan, Marina Litvak

Inf., June, 2024

Improving Factual Error Correction for Abstractive Summarization via Data Distillation and Conditional-generation Cloze.

Yiyang Li, Lei Li, Dingxin Hu, Xueyi Hao, Marina Litvak, Natalia Vanetik, Yanquan Zhou

CoRR, 2024

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

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Job Vacancy Ranking with Sentence Embeddings, Keywords, and Named Entities.

Natalia Vanetik, Genady Kogan

Inf., 2023

Sufficient Networks for Computing Support of Graph Patterns.

Natalia Vanetik

Inf., 2023

Teledermatologist: Automated Diagnosis of Skin Diseases with Image Recognition.

Nadav Ishai, Dolev Peretz, Natalia Vanetik, Marina Litvak

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

Propaganda Detection in Russian Telegram Posts in the Scope of the Russian Invasion of Ukraine.

Natalia Vanetik, Marina Litvak, Egor Reviakin, Margarita Tiamanova

Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

NLP-based Screening for IT Job Vacancies: A Case Study.

Natalia Vanetik, Alona Kolesnev, Genady Kogan

Proceedings of the IACT, 2023

Cross-lingual Transfer Learning for Detecting Negative Campaign in Israeli Municipal Elections: a Case Study.

Natalia Vanetik, Marina Litvak, Lin Miao

Proceedings of Text2Story, 2023

Summarizing Financial Reports with Positional Language Model.

Natalia Vanetik, Elizaveta Podkaminer, Marina Litvak

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Graph support measures and flows.

Natalia Vanetik

Soc. Netw. Anal. Min., 2022

Detection of Racist Language in French Tweets.

Natalia Vanetik, Elisheva Mimoun

Inf., 2022

Just ClozE! A Fast and Simple Method for Evaluating the Factual Consistency in Abstractive Summarization.

Yiyang Li, Lei Li, Qing Yang, Marina Litvak, Natalia Vanetik, Dingxin Hu, Yuze Li, Yanquan Zhou, Dongliang Xu, Xuanyu Zhang

CoRR, 2022

Offensive language detection in Hebrew: can other languages help?

Marina Litvak, Natalia Vanetik, Chaya Liebeskind, Omar Hmdia, Rizek Abu Madeghem

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

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

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Ransomware Detection with Deep Neural Networks.

Matan Davidian, Natalia Vanetik, Michael Kiperberg

Proceedings of the 8th International Conference on Information Systems Security and Privacy, 2022

2021

Subjective Bias in Abstractive Summarization.

Lei Li, Wei Liu, Marina Litvak, Natalia Vanetik, Jiacheng Pei, Yinan Liu, Siya Qi

CoRR, 2021

2020

An unsupervised constrained optimization approach to compressive summarization.

Natalia Vanetik, Marina Litvak, Elena Churkin, Mark Last

Inf. Sci., 2020

Automated Discovery of Mathematical Definitions in Text with Deep Neural Networks.

Natalia Vanetik, Marina Litvak, Sergey Shevchuk, Lior Reznik

CoRR, 2020

Automated Discovery of Mathematical Definitions in Text.

Natalia Vanetik, Marina Litvak, Sergey Shevchuk, Lior Reznik

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019

Quality-Diversity Summarization with Unsupervised Autoencoders.

Lei Li, Zuying Huang, Natalia Vanetik, Marina Litvak

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

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

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

EASY: Evaluation System for Summarization.

Marina Litvak, Natalia Vanetik, Yael Veksler

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019

2018

DRIM: MDL-Based Approach for Fast Diverse Summarization.

Natalia Vanetik, Marina Litvak

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

HEvaS: Headline Evaluation System.

Marina Litvak, Natalia Vanetik, Itzhak Eretz Kdosha

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Sentence Compression as a Supervised Learning with a Rich Feature Space.

Elena Churkin, Mark Last, Marina Litvak, Natalia Vanetik

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2018

2017

Summarizing Weibo with Topics Compression.

Marina Litvak, Natalia Vanetik, Lei Li

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017

Query-based summarization using MDL principle.

Marina Litvak, Natalia Vanetik

Proceedings of the Workshop on Summarization and Summary Evaluation Across Source Types and Genres, 2017

2016

What's up on Twitter? Catch up with TWIST!

Marina Litvak, Natalia Vanetik, Efi Levi, Michael Roistacher

Proceedings of the COLING 2016, 2016

MUSEEC: A Multilingual Text Summarization Tool.

Marina Litvak, Natalia Vanetik, Mark Last, Elena Churkin

Proceedings of ACL-2016 System Demonstrations, Berlin, Germany, August 7-12, 2016, 2016

2015

Multilingual Summarization with Polytope Model.

Natalia Vanetik, Marina Litvak

Proceedings of the SIGDIAL 2015 Conference, 2015

Krimping texts for better summarization.

Marina Litvak, Mark Last, Natalia Vanetik

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Improving Summarization Quality with Topic Modeling.

Marina Litvak, Natalia Vanetik, Chunlei Liu, Lemin Xiao, Onur Savas

Proceedings of the 2015 Workshop on Topic Models: Post-Processing and Applications, 2015

2014

Multi-document Summarization using Tensor Decomposition.

Marina Litvak, Natalia Vanetik

Computación y Sistemas, 2014

Redundancy-weighting for better inference of protein structural features.

Chen Yanover, Natalia Vanetik, Michael Levitt, Rachel Kolodny, Chen Keasar

Bioinform., 2014

2013

Mining the Gaps: Towards Polynomial Summarization.

Marina Litvak, Natalia Vanetik

Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

2012

On the fractionality of the path packing problem.

Natalia Vanetik

J. Comb. Optim., 2012

Classification of Datasets with Frequent Itemsets is Wild.

Natalia Vanetik

Proceedings of the KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Barcelona, Spain, 4, 2012

Polytope Model for Extractive Summarization.

Marina Litvak, Natalia Vanetik

Proceedings of the KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Barcelona, Spain, 4, 2012

2011

HashMax: A New Method for Mining Maximal Frequent Itemsets.

Natalia Vanetik, Ehud Gudes

Proceedings of the KDIR 2011, 2011

Mining Graphs of Prescribed Connectivity.

Natalia Vanetik

Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2011

A Fast Algorithm for Mining Graphs of Prescribed Connectivity.

Natalia Vanetik

Proceedings of the KDIR 2011, 2011

2010

Mining Graphs with Constraints on Symmetry and Diameter.

Natalia Vanetik

Proceedings of the Web-Age Information Management, 2010

2009

Path packing and a related optimization problem.

Natalia Vanetik

J. Comb. Optim., 2009

Subsea: an efficient heuristic algorithm for subgraph isomorphism.

Vladimir Lipets, Natalia Vanetik, Ehud Gudes

Data Min. Knowl. Discov., 2009

2006

Discovering Frequent Graph Patterns Using Disjoint Paths.

Ehud Gudes, Solomon Eyal Shimony, Natalia Vanetik

IEEE Trans. Knowl. Data Eng., 2006

Support measures for graph data.

Natalia Vanetik, Solomon Eyal Shimony, Ehud Gudes

Data Min. Knowl. Discov., 2006

2004

Mining Frequent Labeled and Partially Labeled Graph Patterns.

Natalia Vanetik, Ehud Gudes

Proceedings of the 20th International Conference on Data Engineering, 2004

2002

Computing Frequent Graph Patterns from Semistructured Data.

Natalia Vanetik, Ehud Gudes, Solomon Eyal Shimony

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002