| Self-learning statistical natural language processing for automatic production of virtual personal assistants Y Karov, M Breakstone, R Shilon, O Keller, E Shellef US Patent 9,772,994, 2017 | 182 | 2017 |
| Method and system for determining relevance of terms in text documents Y Aumann, O Keller, R Shlivinski US Patent 8,321,398, 2012 | 37 | 2012 |
| Generalized substring compression O Keller, T Kopelowitz, SL Feibish, M Lewenstein Theoretical Computer Science 525, 42-54, 2014 | 35* | 2014 |
| On the longest common parameterized subsequence O Keller, T Kopelowitz, M Lewenstein Theoretical Computer Science 410 (51), 5347-5353, 2009 | 33 | 2009 |
| Range non-overlapping indexing and successive list indexing O Keller, T Kopelowitz, M Lewenstein Algorithms and Data Structures: 10th International Workshop, WADS 2007 …, 2007 | 31 | 2007 |
| Self-learning statistical natural language processing for automatic production of virtual personal assistants Y Karov, M Breakstone, R Shilon, O Keller, E Shellef US Patent 9,798,719, 2017 | 27 | 2017 |
| Self-learning statistical natural language processing for automatic production of virtual personal assistants Y Karov, M Breakstone, R Shilon, O Keller, E Shellef US Patent 10,346,540, 2019 | 24 | 2019 |
| Automatic speaker identification in calls using multiple speaker-identification parameters R Cohen, E Volk, R Levy, MY Breakstone, O Keller, I Tuil, A Ashkenazi US Patent 11,417,343, 2022 | 13 | 2022 |
| Dynamic composition for conversational domain exploration I Szpektor, D Cohen, G Elidan, M Fink, A Hassidim, O Keller, S Kulkarni, ... Proceedings of The Web Conference 2020, 872-883, 2020 | 10 | 2020 |
| New approximations for coalitional manipulation in scoring rules O Keller, A Hassidim, N Hazon Journal of Artificial Intelligence Research 64, 109-145, 2019 | 9 | 2019 |
| Approximating bribery in scoring rules O Keller, A Hassidim, N Hazon Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 9 | 2018 |
| Dynamic planning in open-ended dialogue using reinforcement learning D Cohen, M Ryu, Y Chow, O Keller, I Greenberg, A Hassidim, M Fink, ... arXiv preprint arXiv:2208.02294, 2022 | 7 | 2022 |
| Semantically Driven Sentence Fusion: Modeling and Evaluation E Ben-David, O Keller, E Malmi, I Szpektor, R Reichart Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 5 | 2020 |
| Approximating Weighted and Priced Bribery in Scoring Rules O Keller, A Hassidim, N Hazon Journal of Artificial Intelligence Research 66, 1057-1098, 2019 | 5 | 2019 |
| Semantic word affinity automatic speech recognition J Mamou, M Wasserblat, O Pereg, M Assayag, O Keller US Patent App. 14/976,809, 2017 | 5 | 2017 |
| On the robustness of dialogue history representation in conversational question answering: a comprehensive study and a new prompt-based method Z Gekhman, N Oved, O Keller, I Szpektor, R Reichart Transactions of the Association for Computational Linguistics 11, 351-366, 2023 | 4 | 2023 |
| New approximation for Borda coalitional manipulation O Keller, A Hassidim, N Hazon Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …, 2017 | 4 | 2017 |
| Approximate string matching with stuck address bits A Amir, E Eisenberg, O Keller, A Levy, E Porat Theoretical computer science 412 (29), 3537-3544, 2011 | 4 | 2011 |
| Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback P Roit, J Ferret, L Shani, R Aharoni, G Cideron, R Dadashi, M Geist, ... arXiv preprint arXiv:2306.00186, 2023 | 2 | 2023 |
| Finding the Minimum-Weight k-Path A Hassidim, O Keller, M Lewenstein, L Roditty Workshop on Algorithms and Data Structures, 390-401, 2013 | 2 | 2013 |
