Metaphor is pervasive in our communication, which makes it an important problem for
natural language processing (NLP). Numerous approaches to metaphor processing have …

Contextualized word representations have become a driving force in NLP, motivating
widespread interest in understanding their capabilities and the mechanisms by which they …

Abstract Machine metaphor understanding is one of the major topics in NLP. Most of the
recent attempts consider it as classification or sequence tagging task. However, few types of …

We present LEAR (Lexical Entailment Attract-Repel), a novel post-processing method that
transforms any input word vector space to emphasise the asymmetric relation of lexical …

Metaphors are figurative languages widely used in daily life and literatures. It's an important
task to detect the metaphors evoked by texts. Thus, the metaphor shared task is aimed to …

The literary imagination may take flight on the wings of metaphor, but hard-headed scientists
are just as likely as doe-eyed poets to reach for a metaphor when the descriptive need …

Metaphors allow us to convey emotion by connecting physical experiences and abstract
concepts. The results of previous research in linguistics and psychology suggest that …

We introduce HyperLex—a data set and evaluation resource that quantifies the extent of the
semantic category membership, that is, type-of relation, also known as hyponymy …

Metaphors are figurative expressions frequently appearing daily. Given its significance in
downstream natural language processing tasks such as machine translation and sentiment …

Metaphor involves not only a linguistic phenomenon, but also a cognitive phenomenon
structuring human thought, which makes understanding it challenging. As a means of …