In 2026, ScaDS.AI Dresden/Leipzig welcomed Dr. Marina Litvak as the third Ada Lovelace Distinguished Research Fellow at TUD Dresden University of Technology.

Dr. Marina Litvak

Marina Litvak is a Senior Lecturer at Shamoon College of Engineering, Department of Software Engineering. Marina’s research focuses mainly on Multilingual Text Analysis, Social Networks, Knowledge Extraction from Text, and Summarization. Marina published over 120 academic papers, including journal and top-level conference publications. She constantly serves on the program committees and editorial boards in multiple journals and conferences and collaborates on different research projects in Israel and abroad.

She is a co-organizer of the MultiLing workshops, collocated with DUC/TAC 2011, EACL 2013, ACL 2015, SIGDIAL 2017, and RANL2019, Text2Story workshops, collocated with ECIR 2022-2026, and a co-chair of the IACT’23 workshop held at SIGIR 2023. Also, she is a part of the organizing committee for the FNP workshop series (FNP 2020 was held at COLING’2020, FNP 2021 ran as a 2-day event sponsored and funded by the Data Science Institute at Lancaster University and Yseop, and FNP 2022 was hosted by LREC 2022).

Curriculum Vitae

Contact: litvak.marina@gmail.com
ORCID: https://orcid.org/0000-0003-3044-3681
Position: Senior Lecturer at the Department of Software Engineering of the Shamoon College of Engineering (SCE).
Head of the Data Science Track since 2018.
Degree: PhD in Information Systems, Ben Gurion University of the Negev, Israel, 2010.
Publications: above 120 publications, with an h-index of 20 and i10-index of 44 in Google Scholar.
Edited books: published by World Scientific in 2019 and 2025.

Research interests

• Information Retrieval
• Computational Linguistics
• NLP
• Knowledge Extraction

Teaching

• Data Science
• Data Mining
• Information Retrieval
• Principles of Programming Languages
• Advanced OO Programming

Grants

Principal investigator and collaborator in various international and national projects:

• Enhanced Document Summarization (ONR, USA)
• Multi-modal Information Extraction (ISERD)
• Sentiment and argument sensitive summarization of comments in online domain (Beijing City Government)
• Monitoring the self-reported symptoms of ‘LongCovid’ patients on social media (BGU)
• Mining Eye-Tracking Data for Text Summarization and Visualization (Council of Higher Education)
• Word-Structure-Fact 3-D Linkage Model for Abstractive Summarization (NSFC)

Events co-organized

• Text2Story Workshops at ECIR (2022-current)
• MultiLing Workshop (2011-2019)
• Financial Narrative Summarisation (FNS) shared Task (2020-2021)
• Financial Narrative Processing Workshop (2021-2023)
• Workshop on Implicit Author Characterization from Texts for Search and Retrieval (2023)

Editorial Roles

Transactions on Systems, Man, and Cybernetics, Data & Knowledge Engineering, Transactions on Intelligent Systems and Technology, Language Resources and Evaluation, International Journal of Data Science and Analytics, Information Systems, Knowledge-Based Systems, Interacting with Computers, TKDE, ACL, EMNLP, COLING, CoNLL, ICWSM, LREC, EACL, IJCNLP, NAACL, and more.

Student supervision

Co-supervision of 2 completed PhD theses and above 15 MSc dissertations

Awards

• Leading Researcher, SCE (2013-current)
• Best presentation at the Computational Linguistics – Applications (CL-A’11) conference (2011)

Patents

• US Nonprovisional Patent Application no. 13/190.061, Multilingual Sentence Extractor
• US Provisional Patent Application no. 31220, Polytopes based summarization method

Selected Publications

• Taieb-Maimon, M., Romanovski-Chernik, A., Last, M., Litvak, M. and Elhadad, M., 2023. Mining Eye-Tracking Data for Text Summarization. International Journal of Human–Computer Interaction, pp.1-19.
• Rabaev, I., Alkoran, I., Wattad, O. and Litvak, M., 2022. Automatic gender and age classification from offline handwriting with bilinear ResNet. Sensors, 22(24), p.9650.
• Rabaev, I. and Litvak, M., 2022. Automated gender classification from handwriting: a systematic survey. Applied Intelligence, pp.1-24.
• Litvak, M., Divekar, S. and Rabaev, I., 2022. Urban Plants Classification Using Deep-Learning Methodology: A Case Study on a New Dataset. Signals, 3(3), pp.524-534.
• Litvak, M, Vanetik, N. and Kimperg, S. 2022. Summarization of financial reports with TIBER, Machine Learning with Applications, 9, p.100324.
• Vanetik, N and Litvak M., 2021. Definition Extraction from Generic and Mathematical Domains with Deep Ensemble Learning. Mathematics, 9(19), p.2502 (Q1).
• Miao, L., Last, M. and Litvak, M., 2021. Tracking social media during the COVID-19 pandemic: the case study of lockdown in New York State. Expert Systems with Applications (Q1), p.115797.
• Vanetik N, Litvak M, Churkin E, Last M. 2020. An unsupervised constrained optimization approach to compressive summarization. Information Sciences (Q1). 2020 Jan 1;509:22-35.
• Otterbacher, J., Ang, C.S., Litvak, M. and Atkins, D., 2017. Show Me You Care: Trait Empathy, Linguistic Style, and Mimicry on Facebook. ACM Transactions on Internet Technology (Q1), 2017, 17(1), p.6.
• Litvak M., Last M., 2013. Cross-lingual Training of Summarization Systems Using Annotated Corpora in a Foreign Language, Information Retrieval (Q2), 2013, 16(5): 629-656
• Litvak M., Last M., Kandel A., 2013. DegExt – A Language-Independent Keyphrase Extractor, Journal of Ambient Intelligence and Humanized Computing (Q1), 2013, 4(3): 377-387
• Litvak, M. and Vanetik, N. Multilingual Text Analysis: Challenges, Models, And Approaches. World Scientific, 2019/2/27.
• Guber, J., Reinhartz-Berger, I. and Litvak, M., 2023, October. Empirical Exploration of Open-Source Issues for Predicting Privacy Compliance. In International Conference on Conceptual Modeling (pp. 63-73). Cham: Springer Nature Switzerland.
• Vanetik, N., Litvak, M., Reviakin, E. and Tiamanova, M., 2023, September. Propaganda Detection in Russian Telegram Posts in the Scope of the Russian Invasion of Ukraine. In Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing (pp. 1162-1170).
• Litvak, M., Rabaev, I., Campos, R., Jorge, A.M. and Jatowt, A., 2023, July. The 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT’23). In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 3479-3482). (A+)
• Campos, R., Jorge, A., Jatowt, A., Bhatia, S. and Litvak, M., 2023, March. The 6th International Workshop on Narrative Extraction from Texts: Text2Story 2023. In European Conference on Information Retrieval (pp. 377-383). Cham: Springer Nature Switzerland. (A+)
• Miao, L., Last, M. and Litvak, M., 2022, November. Early Detection of Multilingual Troll Accounts on Twitter. In 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (pp. 378-382). IEEE. (B)
• Qi, S., Li, L., Li, Y., Jiang, J., Hu, D., Li, Y., Zhu, Y., Zhou, Y., Litvak, M. and Vanetik, N., 2022, November. SAPGraph: Structure-aware Extractive Summarization for Scientific Papers with Heterogeneous Graph. In 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 (pp. 575-586). (B)
• Vanetik, N., Talker, S., Machlouf, O., Litvak, M. Detection of Negative Campaign in Israeli Municipal Elections. TRAC@COLING 2022.
• Campos, R., Jorge, A.M., Jatowt, A., Bhatia, S., Finlayson, M., Cordeiro, J.P., Rocha, C., Ribeiro, A., Mansouri, B., Ansah, J. and Pasquali, A., 2022, March. Report on the 4th international workshop on narrative extraction from texts (Text2Story 2021) at ECIR 2021. In ACM SIGIR Forum (Vol. 55, No. 2, pp. 1-9). New York, NY, USA: ACM.
• Marina Litvak, Natalia Vanetik, Chaya Liebeskind, Omar Hmdia and Rizek Abu Madeghem, (2022). Offensive language detection in Hebrew: can other languages help? Proceedings of LREC 2022. (C)
• Campos, R., Jorge, A., Jatowt, A., Bhatia, S. and Litvak, M., (2022, April). The 5th International Workshop on Narrative Extraction from Texts: Text2Story 2022. In European Conference on Information Retrieval (pp. 552-556). Springer, Cham. (A)
• Rabaev, I., Litvak, Divekar, S., (2021) Urban Planter: A Web App for Automatic Classification of Urban Plants, Proceedings of IEEE VCIP 2021. (B)
• Kreinis, A., Damri, T., Leon, T., Rabaev, I., and Litvak, M., (2021). Telemoji: A video chat with automated recognition of facial expressions. Proceedings of IEEE VCIP 2021. (B)
• Irina Rabaev, Marina Litvak, Sean Asulin, and Or Haim Tabibi., (2021) Automatic Gender Classification from Handwritten Images: a Case Study. Proceedings of the 19th International Conference on Computer Analysis of Images and Patterns (CAIP 2021). (B)
• Natalia Vanetik, Marina Litvak, Sergey Shevchuk, Lior Reznik: Automated Discovery of Mathematical Definitions in Text. In Proceedings of The 12th Language Resources and Evaluation Conference, pp. 2086-2094. 2020. (A2)
• Miao, Lin, Mark Last, and Marina Litvak. Detecting Troll Tweets in a Bilingual Corpus. In Proceedings of The 12th Language Resources and Evaluation Conference, pp. 6247-6254. 2020. (A2)
• Li L, Liu W, Litvak M, Vanetik N, Huang Z. In Conclusion Not Repetition: Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes. In Proceedings of 23rd Conference on Computational Natural Language Learning, 822–832. (A)

Find a complete list of publications here.