| An autonomous debating system N Slonim, Y Bilu, C Alzate, R Bar-Haim, B Bogin, F Bonin, L Choshen, ... Nature 591 (7850), 379-384, 2021 | 247 | 2021 |
| Multilingual argument mining: Datasets and analysis O Toledo-Ronen, M Orbach, Y Bilu, A Spector, N Slonim arXiv preprint arXiv:2010.06432, 2020 | 43 | 2020 |
| Graph-based transduction with confidence M Orbach, K Crammer Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012 | 35 | 2012 |
| A dataset of general-purpose rebuttal M Orbach, Y Bilu, A Gera, Y Kantor, L Dankin, T Lavee, L Kotlerman, ... arXiv preprint arXiv:1909.00393, 2019 | 28 | 2019 |
| Out of the echo chamber: Detecting countering debate speeches M Orbach, Y Bilu, A Toledo, D Lahav, M Jacovi, R Aharonov, N Slonim arXiv preprint arXiv:2005.01157, 2020 | 25 | 2020 |
| Listening comprehension over argumentative content S Mirkin, G Moshkowich, M Orbach, L Kotlerman, Y Kantor, T Lavee, ... Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 21 | 2018 |
| YASO: A targeted sentiment analysis evaluation dataset for open-domain reviews M Orbach, O Toledo-Ronen, A Spector, R Aharonov, Y Katz, N Slonim arXiv preprint arXiv:2012.14541, 2020 | 18 | 2020 |
| Towards effective rebuttal: Listening comprehension using corpus-wide claim mining T Lavee, M Orbach, L Kotlerman, Y Kantor, S Gretz, L Dankin, S Mirkin, ... arXiv preprint arXiv:1907.11889, 2019 | 18 | 2019 |
| Crowd-sourcing annotation of complex NLU tasks: A case study of argumentative content annotation T Lavee, L Kotlerman, M Orbach, Y Bilu, M Jacovi, R Aharonov, N Slonim Proceedings of the First Workshop on Aggregating and Analysing Crowdsourced …, 2019 | 12 | 2019 |
| Multi-domain targeted sentiment analysis O Toledo-Ronen, M Orbach, Y Katz, N Slonim arXiv preprint arXiv:2205.03804, 2022 | 10 | 2022 |
| Transductive phoneme classification using local scaling and confidence M Orbach, K Crammer 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, 1-5, 2012 | 7 | 2012 |
| Unitxt: Flexible, shareable and reusable data preparation and evaluation for generative ai E Bandel, Y Perlitz, E Venezian, R Friedman-Melamed, O Arviv, M Orbach, ... arXiv preprint arXiv:2401.14019, 2024 | 6 | 2024 |
| Advances in debating technologies: Building AI that can debate humans R Bar-Haim, LE Dor, M Orbach, E Venezian, N Slonim Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 6 | 2021 |
| YASO: a new benchmark for targeted sentiment analysis M Orbach, O Toledo-Ronen, A Spector, R Aharonov, Y Katz, N Slonim arXiv preprint arXiv:2012.14541, 2020 | 5 | 2020 |
| Towards automated assessment of organizational cybersecurity posture in cloud R Bar-Haim, L Eden, Y Kantor, V Agarwal, M Devereux, N Gupta, A Kumar, ... Proceedings of the 6th Joint International Conference on Data Science …, 2023 | 4 | 2023 |
| Welcome to the real world: efficient, incremental and scalable key point analysis L Eden, Y Kantor, M Orbach, Y Katz, N Slonim, R Bar-Haim Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 3 | 2023 |
| Welcome to the Real World: Efficient, Incremental and Scalable Key Point Analysis L Edelstein, Y Kantor, M Orbach, Y Katz, N Slonim, R Bar-Haim Conference on Empirical Methods in Natural Language Processing, 2023 | | 2023 |
| Semi-supervised Learning with Confidence M Orbach Technion-Israel Institute of Technology, Faculty of Electrical Engineering, 2013 | | 2013 |
