24 citations · 32 across the 2 of their papers we have counts for
2 papers
cs.CL2017★ 8 cited
Disentangled Representations for Manipulation of Sentiment in Text
Maria Larsson, Amanda Nilsson, Mikael Kågebäck
The ability to change arbitrary aspects of a text while leaving the core message intact could have a strong impact in fields like marketing and politics by enabling e.g. automatic…
cs.CL2017★ 24 cited
Query-Based Abstractive Summarization Using Neural Networks
Johan Hasselqvist, Niklas Helmertz, Mikael Kågebäck
In this paper, we present a model for generating summaries of text documents with respect to a query. This is known as query-based summarization. We adapt an existing dataset of ne…