  The intensity relationship that holds between scalar adjectives (e.g., nice <
great < wonderful) is highly relevant for natural language inference and
common-sense reasoning. Previous research on scalar adjective ranking has
focused on English, mainly due to the availability of datasets for evaluation.
We introduce a new multilingual dataset in order to promote research on scalar
adjectives in new languages. We perform a series of experiments and set
performance baselines on this dataset, using monolingual and multilingual
contextual language models. Additionally, we introduce a new binary
classification task for English scalar adjective identification which examines
the models' ability to distinguish scalar from relational adjectives. We probe
contextualised representations and report baseline results for future
comparison on this task.
