Extractive Summarization using Continuous Vector Space Models. - Mikael Kågebäck; Olof Mogren; Nina Tahmasebi; Devdatt P. Dubhashi (CVSC@EACL, 2014)

Neural context embeddings for automatic discovery of word senses. - Mikael Kågebäck; Fredrik D. Johansson; Richard Johansson; Devdatt P. Dubhashi (VS@HLT-NAACL, 2015)

Extractive Summarization by Aggregating Multiple Similarities. - Olof Mogren; Mikael Kågebäck; Devdatt P. Dubhashi (RANLP, 2015)

Visions and open challenges for a knowledge-based culturomics. - 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; et al. (Int. J. Digit. Libr., 2015)

Word Sense Disambiguation using a Bidirectional LSTM. - Mikael Kågebäck; Hans Salomonsson (CogALex@COLING, 2016)

Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence. - Emilio Jorge; Mikael Kågebäck; Emil Gustavsson (CoRR, 2016)

Query-Based Abstractive Summarization Using Neural Networks. - Johan Hasselqvist; Niklas Helmertz; Mikael Kågebäck (CoRR, 2017)

Disentangled Representations for Manipulation of Sentiment in Text. - Maria Larsson; Amanda Nilsson; Mikael Kågebäck (CoRR, 2017)

DeepColor: Reinforcement Learning optimizes information efficiency and well-formedness in color name partitioning. - Mikael Kågebäck; Devdatt P. Dubhashi; Asad B. Sayeed (CogSci, 2018)