| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 737 | 2022 |
| Big BiRD: A large, fine-grained, bigram relatedness dataset for examining semantic composition S Asaadi, S Mohammad, S Kiritchenko Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 38 | 2019 |
| Knowledge distillation meets few-shot learning: An approach for few-shot intent classification within and across domains A Sauer, S Asaadi, F Küch Proceedings of the 4th Workshop on NLP for Conversational AI, 108-119, 2022 | 10 | 2022 |
| Gradual learning of matrix-space models of language for sentiment analysis S Asaadi, S Rudolph Proceedings of the 2nd Workshop on Representation Learning for NLP, 178-185, 2017 | 7 | 2017 |
| On the correspondence between compositional matrix-space models of language and weighted automata S Asaadi, S Rudolph Proceedings of the SIGFSM Workshop on Statistical NLP and Weighted Automata …, 2016 | 4 | 2016 |
| TQOR: Trust-based QoS-oriented routing in cognitive MANETs S Asaadi, K Alikhademi, F Eshghi, JE Gilbert 2017 IEEE 16th International Symposium on Network Computing and Applications …, 2017 | 3 | 2017 |
| Compositional matrix-space models of language: Definitions, properties, and learning methods S Asaadi, E Giesbrecht, S Rudolph Natural Language Engineering 29 (1), 32-80, 2023 | 2 | 2023 |
| Compositional Matrix-Space Models: Learning Methods and Evaluation S Asaadi Dissertation, Dresden, Technische Universität Dresden, 2020, 2020 | 1 | 2020 |
| GiCCS: A German in-Context Conversational Similarity Benchmark S Asaadi, Z Kolagar, A Liebel, A Zarcone Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation …, 2022 | | 2022 |
Sebastian RudolphTechnische Universität DresdenVerified email at tu-dresden.de
