Liat Ein-Dor  Liat Ein-Dor photo         

contact information

Research Staff Member
Migdal Hashachar, Givatayim, Israel



Active Learning for BERT: An Empirical Study
Liat Ein-Dor, Alon Halfon, Ariel Gera, Eyal Shnarch, Lena Dankin, Leshem Choshen, Marina Danilevsky, Ranit Aharonov, Yoav Katz, Noam Slonim
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 7949--7962

Corpus Wide Argument Mining-A Working Solution.
Liat Ein-Dor, Eyal Shnarch, Lena Dankin, Alon Halfon, Benjamin Sznajder, Ariel Gera, Carlos Alzate, Martin Gleize, Leshem Choshen, Yufang Hou, others
AAAI, pp. 7683--7691, 2020


Fast End-to-End Wikification
Ilya Shnayderman, Liat Ein-Dor, Yosi Mass, Alon Halfon, Benjamin Sznajder, Artem Spector, Yoav Katz, Dafna Sheinwald, Ranit Aharonov, Noam Slonim
arXiv preprint arXiv:1908.06785, 2019

Financial Event Extraction Using Wikipedia-Based Weak Supervision
Liat Ein Dor, Ariel Gera, Orith Toledo-Ronen, Alon Halfon, Benjamin Sznajder, Lena Dankin, Yonatan Bilu, Yoav Katz, Noam Slonim
Proceedings of the Second Workshop on Economics and Natural Language Processing, pp. 10--15, 2019


Semantic Relatedness of Wikipedia Concepts--Benchmark Data and a Working Solution
Liat Ein-Dor, Alon Halfon, Yoav Kantor, Ran Levy, Yosi Mass, Ruty Rinott, Eyal Shnarch, Noam Slonim
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC-2018)

Learning Thematic Similarity Metric from Article Sections Using Triplet Networks
Liat Ein-Dor, Yosi Mass, Alon Halfon, Elad Venezian, Ilya Shnayderman, Ranit Aharonov, Noam Slonim
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 49--54, 2018


Anomaly detection in large databases using behavioral patterning
Hanna Mazzawi, Gal Dalal, David Rozenblatz, Liat Ein-Dorx, Matan Niniox, Ofer Lavi
2017 IEEE 33rd International Conference on Data Engineering (ICDE), pp. 1140--1149


Identifying and investigating unexpected response to treatment: a diabetes case study
Michal Ozery-Flato, Liat Ein-Dor, Naama Parush-Shear-Yashuv, Ranit Aharonov, Hani Neuvirth, Martin S Kohn, Jianying Hu
Big data 4(3), 148--159, Mary Ann Liebert, Inc. 140 Huguenot Street, 3rd Floor New Rochelle, NY 10801 USA, 2016


Tr9856: A multi-word term relatedness benchmark
Ran Levy, Liat Ein-Dor, Shay Hummel, Ruty Rinott, Noam Slonim
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pp. 419--424, 2015


Functional gene groups are concentrated within chromosomes, among chromosomes and in the nuclear space of the human genome
Annelyse Th\'evenin, Liat Ein-Dor, Michal Ozery-Flato, Ron Shamir
Nucleic acids research 42(15), 9854--9861, Oxford University Press, 2014


Analytics for resiliency in the mainframe
Liat Ein-Dor, Yaara Goldschmidt, Ofer Lavi, GE Miller, Matan Ninio, D Dillenberger
IBM Journal of Research and Development 57(5), 8--1, IBM, 2013


Ranking under uncertainty
Or Zuk, Liat Ein-Dor, Eytan Domany
arXiv preprint arXiv:1206.5280, 2012


Efficient human computation: the distributed labeling problem
Ran Gilad-Bachrach, Aharon Bar-Hillel, Liat Ein-Dor
Proceedings of the ACM SIGKDD Workshop on Human Computation, pp. 70--76, 2009


Workstation capacity tuning using reinforcement learning
Aharon Bar-Hillel, Amir Di-Nur, Liat Ein-Dor, Ran Gilad-Bachrach, Yossi Ittach
Proceedings of the 2007 ACM/IEEE conference on Supercomputing, pp. 32

Reinforcement learning for capacity tuning of multi core servers
Liat Ein-Dor, Yossi Ittach, Aharon Bar-Hillel, Amir Di-Nur and Ran Gilad-Bachrach
"machine learning for systems problems" workshop, NIPS , 2007

Ranking under uncertainty
Zuk, O., Ein-Dor, L., and Domany, E.
In Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence, pp. 466ÿ 473, AUAI Press, 2007


Gene expression profiles of AML derived stem cells; similarity to hematopoietic stem cells
H Gal, N Amariglio, L Trakhtenbrot, J Jacob-Hirsh, O Margalit, A Avigdor, Arnon Nagler, S Tavor, L Ein-Dor, T Lapidot, others
Leukemia 20(12), 2147, Nature Publishing Group, 2006

Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer
Liat Ein-Dor, Or Zuk, Eytan Domany
Proceedings of the National Academy of Sciences 103(15), 5923--5928, National Acad Sciences, 2006


Sorting points into neighborhoods (SPIN): data analysis and visualization by ordering distance matrices
Dan Tsafrir, Ilan Tsafrir, Liat Ein-Dor, Or Zuk, Daniel A Notterman, Eytan Domany
Bioinformatics 21(10), 2301--2308, Oxford University Press, 2005


8 Analysis of Backtracking Procedures for Random Decision Problems
Simona Cocco, Liat Ein-Dor, R\'emi Monasson
New Optimization Algorithms in Physics, 139, Wiley Online Library, 2004

Outcome signature genes in breast cancer: is there a unique set?
Liat Ein-Dor, Itai Kela, Gad Getz, David Givol, Eytan Domany
Bioinformatics 21(2), 171--178, Oxford University Press, 2004


The dynamics of proving uncolourability of large random graphs: I. Symmetric colouring heuristic
Liat Ein-Dor, R\'emi Monasson
Journal of Physics A: Mathematical and General 36(43), 11055, IOP Publishing, 2003


Low autocorrelated multiphase sequences
Liat Ein-Dor, Ido Kanter, Wolfgang Kinzel
Physical Review E 65(2), 020102, APS, 2002


Matrix games with nonuniform payoff distributions
Liat Ein-Dor, Ido Kanter
Physica A: Statistical Mechanics and its Applications 302(1-4), 80--88, Elsevier, 2001

Generation of unpredictable time series by a neural network
Richard Metzler, Wolfgang Kinzel, Liat Ein-Dor, Ido Kanter
Physical Review E 63(5), 056126, APS, 2001

Multichoice minority game
Liat Ein-Dor, Richard Metzler, Ido Kanter, Wolfgang Kinzel
Physical Review E 63(6), 066103, APS, 2001


Secure and linear cryptosystems using error-correcting codes
I Kanter, E Kanter, L Ein-Dor
EPL (Europhysics Letters) 51(2), 244, IOP Publishing, 2000


Confidence in prediction by neural networks
Liat Ein-Dor, Ido Kanter
Physical Review E 60(1), 799, APS, 1999


Time series generation by multilayer networks
Liat Ein-Dor, Ido Kanter
Physical Review E 57(6), 6564, APS, 1998