| Alignment of metabolic pathways RY Pinter, O Rokhlenko, E Yeger-Lotem, M Ziv-Ukelson Bioinformatics 21 (16), 3401-3408, 2005 | 280 | 2005 |
| Churn prediction in new users of Yahoo! answers G Dror, D Pelleg, O Rokhlenko, I Szpektor Proceedings of the 21st International Conference on World Wide Web, 829-834, 2012 | 142 | 2012 |
| Semeval-2022 task 11: Multilingual complex named entity recognition (multiconer) S Malmasi, A Fang, B Fetahu, S Kar, O Rokhlenko Proceedings of the 16th international workshop on semantic evaluation …, 2022 | 106 | 2022 |
| MultiCoNER: A large-scale multilingual dataset for complex named entity recognition S Malmasi, A Fang, B Fetahu, S Kar, O Rokhlenko arXiv preprint arXiv:2208.14536, 2022 | 100 | 2022 |
| Speech recognition through disambiguation feedback J Reinspach, O Rokhlenko, R Gottumukkala, G Clemente, A Agrawal, ... US Patent 11,823,659, 2023 | 77 | 2023 |
| Continual learning for named entity recognition N Monaikul, G Castellucci, S Filice, O Rokhlenko Proceedings of the AAAI Conference on Artificial Intelligence 35 (15), 13570 …, 2021 | 72 | 2021 |
| GEMNET: Effective gated gazetteer representations for recognizing complex entities in low-context input T Meng, A Fang, O Rokhlenko, S Malmasi Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 70 | 2021 |
| Gazetteer enhanced named entity recognition for code-mixed web queries B Fetahu, A Fang, O Rokhlenko, S Malmasi Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 67 | 2021 |
| Novelty based ranking of human answers for community questions A Omari, D Carmel, O Rokhlenko, I Szpektor Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016 | 50 | 2016 |
| End-to-end offline goal-oriented dialog policy learning via policy gradient L Zhou, K Small, O Rokhlenko, C Elkan arXiv preprint arXiv:1712.02838, 2017 | 45 | 2017 |
| Studying the effectiveness of conversational search refinement through user simulation A Salle, S Malmasi, O Rokhlenko, E Agichtein Advances in Information Retrieval: 43rd European Conference on IR Research …, 2021 | 44 | 2021 |
| Semeval-2023 task 2: Fine-grained multilingual named entity recognition (multiconer 2) B Fetahu, S Kar, Z Chen, O Rokhlenko, S Malmasi arXiv preprint arXiv:2305.06586, 2023 | 43 | 2023 |
| Similarities and differences of gene expression in yeast stress conditions O Rokhlenko, Y Wexler, Z Yakhini Bioinformatics 23 (2), e184-e190, 2007 | 42 | 2007 |
| Resurrecting infeasible clock-gating functions E Arbel, C Eisner, O Rokhlenko Proceedings of the 46th Annual Design Automation Conference, 160-165, 2009 | 40 | 2009 |
| Approximate labelled subtree homeomorphism RY Pinter, O Rokhlenko, D Tsur, M Ziv-Ukelson Combinatorial Pattern Matching: 15th Annual Symposium, CPM 2004, Istanbul …, 2004 | 37 | 2004 |
| Almost online large scale collaborative filtering based recommendation system OS Somekh, N Golbandi, O Rokhlenko, R Lempel US Patent 9,348,924, 2016 | 36 | 2016 |
| Budget-constrained item cold-start handling in collaborative filtering recommenders via optimal design O Anava, S Golan, N Golbandi, Z Karnin, R Lempel, O Rokhlenko, ... Proceedings of the 24th international conference on world wide web, 45-54, 2015 | 36 | 2015 |
| Multiconer v2: a large multilingual dataset for fine-grained and noisy named entity recognition B Fetahu, Z Chen, S Kar, O Rokhlenko, S Malmasi arXiv preprint arXiv:2310.13213, 2023 | 32 | 2023 |
| CycleNER: an unsupervised training approach for named entity recognition A Iovine, A Fang, B Fetahu, O Rokhlenko, S Malmasi Proceedings of the ACM Web Conference 2022, 2916-2924, 2022 | 29 | 2022 |
| Using phoneme representations to build predictive models robust to ASR errors A Fang, S Filice, N Limsopatham, O Rokhlenko Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 26 | 2020 |
Shervin MalmasiHarvard Medical Schoolbwh.harvard.edu의 이메일 확인됨