In the last decade, the problem of computational metaphor processing has garnered
immense attention from the domains of computational linguistics and cognition. A wide …

We present end-to-end neural models for detecting metaphorical word use in context. We
show that relatively standard BiLSTM models which operate on complete sentences work …

Generating metaphors is a challenging task as it requires a proper understanding of abstract
concepts, making connections between unrelated concepts, and deviating from the literal …

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 …

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

In this paper, we report on the shared task on metaphor identification on VU Amsterdam
Metaphor Corpus and on a subset of the TOEFL Native Language Identification Corpus. The …

As the community working on computational approaches to figurative language is growing
and as methods and data become increasingly diverse, it is important to create widely …

Metaphors are rhetorical use of words based on the conceptual mapping as opposed to their
literal use. Metaphor detection, an important task in language understanding, aims to identify …