In this work, we present the Language Computer Corporation (LCC) annotated metaphor
datasets, which represent the largest and most comprehensive resource for metaphor …

Machine-in-the-loop writing aims to enable humans to collaborate with models to complete
their writing tasks more effectively. Prior work has found that providing humans a machine …

The study of metaphors in media discourse is an increasingly researched topic as media are
an important shaper of social reality and metaphors are an indicator of how we think about …

Metaphorical language, such as “spending time together”, projects meaning from a source
domain (here, money) to a target domain (time). Thereby, it highlights certain aspects of the …

Metaphorical language is a pivotal element inthe realm of political framing. Existing
workfrom linguistics and the social sciences providescompelling evidence regarding the …

The COVID pandemic spurred the use of various metaphors, some very common and
universal, others depending on the language, country and culture. The use of metaphors by …

The metaphor studies community has developed numerous valuable labelled corpora in
various languages over the years. Many of these resources are not only unknown to the NLP …

Automated metaphor detection in languages other than English is highly restricted as
training corpora are comparably rare. One way to overcome this problem is transfer learning …

Metaphors frame a given target domain using concepts from another, usually more concrete,
source domain. Previous research in NLP has focused on the identification of metaphors …

Annotated corpora are invaluable resources for researchers in the humanities: on the one
hand, for natural processing tasks, they can serve as standards against which results from …