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ORCIDMikael Kågebäck
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2010 – 2019
- 2018
[c5]Mikael Kågebäck, Devdatt P. Dubhashi, Asad B. Sayeed:
DeepColor: Reinforcement Learning optimizes information efficiency and well-formedness in color name partitioning. CogSci 2018- 2017
- [i4]Johan Hasselqvist, Niklas Helmertz, Mikael Kågebäck:
Query-Based Abstractive Summarization Using Neural Networks. CoRR abs/1712.06100 (2017) - [i3]Maria Larsson, Amanda Nilsson, Mikael Kågebäck:
Disentangled Representations for Manipulation of Sentiment in Text. CoRR abs/1712.10066 (2017) - 2016
- [c4]Mikael Kågebäck, Hans Salomonsson:
Word Sense Disambiguation using a Bidirectional LSTM. CogALex@COLING 2016: 51-56 - [i2]Mikael Kågebäck, Hans Salomonsson:
Word Sense Disambiguation using a Bidirectional LSTM. CoRR abs/1606.03568 (2016) - [i1]Emilio Jorge, Mikael Kågebäck, Emil Gustavsson:
Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence. CoRR abs/1611.03218 (2016) - 2015
- [j1]Nina Tahmasebi
, Lars Borin, Gabriele Capannini, Devdatt P. Dubhashi, Peter Exner, Markus Forsberg, Gerhard Gossen, Fredrik D. Johansson, Richard Johansson, Mikael Kågebäck, Olof Mogren, Pierre Nugues, Thomas Risse:
Visions and open challenges for a knowledge-based culturomics. Int. J. Digit. Libr. 15(2-4): 169-187 (2015) - [c3]Mikael Kågebäck, Fredrik D. Johansson, Richard Johansson, Devdatt P. Dubhashi:
Neural context embeddings for automatic discovery of word senses. VS@HLT-NAACL 2015: 25-32 - [c2]Olof Mogren, Mikael Kågebäck, Devdatt P. Dubhashi:
Extractive Summarization by Aggregating Multiple Similarities. RANLP 2015: 451-457 - 2014
- [c1]Mikael Kågebäck, Olof Mogren, Nina Tahmasebi, Devdatt P. Dubhashi:
Extractive Summarization using Continuous Vector Space Models. CVSC@EACL 2014: 31-39
Coauthor Index
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