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

Pragmatics, situated in the domains of linguistics and computational linguistics, explores the
influence of context on language interpretation, extending beyond the literal meaning of …

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 …

Although vector space models of word meaning have been successful in modeling many
aspects of human semantic knowledge, little research has explored figurative language …

Highly frequent in language and communication, metaphor represents a significant
challenge for Natural Language Processing (NLP) applications. Computational work on …

Automatic metaphor detection usually relies on various features, incorporating eg
selectional preference violations or concreteness ratings to detect metaphors in text. These …

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

We present and compare two alternative deep neural architectures to perform word-level
metaphor detection on text: a bi-LSTM model and a new structure based on recursive feed …

The current study seeks to implement a deep learning classification algorithm using
argument-structure level representation of metaphoric constructions, for the identification of …

Machine Translation (MT) has developed rapidly since the release of Large Language
Models and current MT evaluation is performed through comparison with reference human …