  The moral value of liberty is a central concept in our inference system when
it comes to taking a stance towards controversial social issues such as vaccine
hesitancy, climate change, or the right to abortion. Here, we propose a novel
Liberty lexicon evaluated on more than 3,000 manually annotated data both in
in- and out-of-domain scenarios. As a result of this evaluation, we produce a
combined lexicon that constitutes the main outcome of this work. This final
lexicon incorporates information from an ensemble of lexicons that have been
generated using word embedding similarity (WE) and compositional semantics
(CS). Our key contributions include enriching the liberty annotations,
developing a robust liberty lexicon for broader application, and revealing the
complexity of expressions related to liberty across different platforms.
Through the evaluation, we show that the difficulty of the task calls for
designing approaches that combine knowledge, in an effort of improving the
representations of learning systems.
