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 …

The ubiquity of metaphor in our everyday communication makes it an important problem for
natural language understanding. Yet, the majority of metaphor processing systems to date …

Automatic processing of metaphors can be explicitly divided into two subtasks: recognition
and interpretation. This paper presents an approach to recognize nominal metaphorical …

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

The diagnosis of serious mental health conditions such as schizophrenia is based on the
judgment of clinicians whose training takes several years, and cannot be easily formalized …

In this paper, we propose a novel approach for supervised classification of linguistic
metaphors in an open domain text using Conditional Random Fields (CRF). We analyze …

Identifying metaphors in text is very challenging and requires comprehending the underlying
comparison. The automation of this cognitive process has gained wide attention lately …

We present a novel approach to the problem of multilingual conceptual metaphor
recognition. Our approach extends recent work in conceptual metaphor discovery by …

Prior works in metaphor detection have largely focused on crisp binary classification of
textual input into 'metaphorical'or 'literal'phrases. However, the journey of a metaphor from …

Recent works in metaphor detection highlight the importance of psychological features such
as imageability and concreteness to identify metaphors in text. However, the aspect of …