| Extractive summarization using continuous vector space models M Kågebäck, O Mogren, N Tahmasebi, D Dubhashi Proceedings of the 2nd workshop on continuous vector space models and their …, 2014 | 272 | 2014 |
| Word sense disambiguation using a bidirectional lstm M Kågebäck, H Salomonsson arXiv preprint arXiv:1606.03568, 2016 | 162 | 2016 |
| Learning to play guess who? and inventing a grounded language as a consequence E Jorge, M Kågebäck, FD Johansson, E Gustavsson arXiv preprint arXiv:1611.03218, 2016 | 88 | 2016 |
| Query-based abstractive summarization using neural networks J Hasselqvist, N Helmertz, M Kågebäck arXiv preprint arXiv:1712.06100, 2017 | 49 | 2017 |
| Extractive summarization by aggregating multiple similarities O Mogren, M Kågebäck, D Dubhashi Proceedings of the International Conference Recent Advances in Natural …, 2015 | 28 | 2015 |
| Neural context embeddings for automatic discovery of word senses M Kågebäck, F Johansson, R Johansson, D Dubhashi Proceedings of the 1st Workshop on Vector Space Modeling for Natural …, 2015 | 28 | 2015 |
| Visions and open challenges for a knowledge-based culturomics N Tahmasebi, L Borin, G Capannini, D Dubhashi, P Exner, M Forsberg, ... International Journal on Digital Libraries 15, 169-187, 2015 | 27 | 2015 |
| A reinforcement-learning approach to efficient communication M Kågebäck, E Carlsson, D Dubhashi, A Sayeed Plos one 15 (7), e0234894, 2020 | 21 | 2020 |
| Disentangled representations for manipulation of sentiment in text M Larsson, A Nilsson, M Kågebäck arXiv preprint arXiv:1712.10066, 2017 | 12 | 2017 |
| Disentangled activations in deep networks M Kågebäck, O Mogren | 3 | 2018 |
| DeepColor: Reinforcement Learning optimizes information efficiency andwell-formedness in color name partitioning M Kageback, D Dubhashi, A Sayeed Proceedings of the Annual Meeting of the Cognitive Science Society 40, 2018 | 2 | 2018 |
| Robust Face Recognition on Adverse 3D Data M Kageback Master Thesis, Chalmers University of Technology, Gothenburg, Sweden, 2013 | 2 | 2013 |
| Word Representations for Emergent Communication and Natural Language Processing M Kågebäck PQDT-Global, 2018 | 1 | 2018 |
| Deep learning for NLP M Kågebäck | 1 | 2013 |
| Word Sense Embedded in Geometric Spaces - From Induction to Applications using Machine Learning M Kågebäck Chalmers University of Technology, 2016 | | 2016 |
| Robust Face Recognition on Adverse 3D Data-Attaining Expression & Occlusion Invariance Using Machine Learning M Kågebäck | | 2013 |
| Akustisk sensor för detektion, klassificering och riktningsbestämning av helikoptrar M Kågebäck | | 2005 |
| Word Sense Embedded in Geometric Spaces M KÅGEBÄCK | | |
Devdatt DubhashiProfessor ChalmersPreverjeni e-poštni naslov na chalmers.se
