Mikael Kågebäck

Doktorand vid Chalmers, Data- och informationsteknik, Data Science

Visar 9 publikationer

2018

DeepColor: Reinforcement Learning optimizes information efficiency and well-formedness in color name partitioning

Mikael Kågebäck, Devdatt Dubhashi, Asad Sayeed
Proceedings of the 40th Annual Meeting of the Cognitive Science Society (CogSci)
Paper i proceeding
2016

Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence.

Emilio Jorge, Mikael Kågebäck, Emil Gustavsson
Preprint
2016

Word Sense Disambiguation using a Bidirectional LSTM

Mikael Kågebäck, Hans Salomonsson
5th Workshop on Cognitive Aspects of the Lexicon (CogALex-V) at the 26th International Conference on Computational Linguistics (COLING 2016)
Paper i proceeding
2015

Extractive summarization by aggregating multiple similarities

Olof Mogren, Mikael Kågebäck, Devdatt Dubhashi
International Conference Recent Advances in Natural Language Processing, RANLP. Vol. 2015, p. 451-457
Paper i proceeding
2015

Neural context embeddings for automatic discovery of word senses

Mikael Kågebäck, Fredrik Johansson, Richard Johansson et al
Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing. Denver, United States, p. 25-32
Paper i proceeding
2015

Visions and open challenges for a knowledge-based culturomics

Nina Tahmasebi, Lars Borin, Gabriele Capannini et al
International Journal on Digital Libraries. Vol. 15 (2-4), p. 169-187
Artikel i vetenskaplig tidskrift
2014

Extractive Summarization using Continuous Vector Space Models

Mikael Kågebäck, Olof Mogren, Nina Tahmasebi et al
Proceedings of the 2nd Workshop on Continuous Vector Space Models and their Compositionality (CVSC) EACL, April 26-30, 2014 Gothenburg, Sweden, p. 31-39
Paper i proceeding

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