Mikael Kågebäck
Title
Cited by
Cited by
Year
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
1702014
Word sense disambiguation using a bidirectional lstm
M Kågebäck, H Salomonsson
arXiv preprint arXiv:1606.03568, 2016
852016
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
442016
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
252015
Extractive summarization by aggregating multiple similarities
O Mogren, M Kågebäck, D Dubhashi
Proceedings of the International Conference Recent Advances in Natural …, 2015
222015
Query-based abstractive summarization using neural networks
J Hasselqvist, N Helmertz, M Kågebäck
arXiv preprint arXiv:1712.06100, 2017
192017
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 (2-4), 169-187, 2015
182015
Disentangled representations for manipulation of sentiment in text
M Larsson, A Nilsson, M Kågebäck
arXiv preprint arXiv:1712.10066, 2017
72017
Disentangled activations in deep networks
M Kågebäck, O Mogren
32018
Deep Learning for NLP
M Kågebäck
12013
A reinforcement-learning approach to efficient communication
M Kågebäck, E Carlsson, D Dubhashi, A Sayeed
Plos one 15 (7), e0234894, 2020
2020
Word Representations for Emergent Communication and Natural Language Processing
M Kågebäck
Department of Computer Science and Engineering, Chalmers University of …, 2018
2018
DeepColor: Reinforcement Learning optimizes information efficiency and well-formedness in color name partitioning.
M Kågebäck, DP Dubhashi, AB Sayeed
CogSci, 2018
2018
Machine Learning for Partial Identification: Example of Bracketed Data.
V Semenova
CoRR, 2017
2017
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
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Articles 1–18