M etaphoric expressions are a special linguistic phenomenon, frequently appearing in
everyday language. Metaphors do not take their literal meanings in contexts, which may …

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

Motivation An essential part of drug discovery is the accurate prediction of the binding affinity
of new compound–protein pairs. Most of the standard computational methods assume that …

Metaphor is a special linguistic phenomenon, challenging diverse natural language
processing tasks. Previous works focused on either metaphor identification or domain …

Multi-task learning (MTL) has been widely applied in Natural Language Processing. A major
task and its associated auxiliary tasks share the same encoder; hence, an MTL encoder can …

Automated metaphor detection is a challenging task to identify metaphorical expressions of
words in a sentence. To tackle this problem, we adopt pre-trained contextualized models …

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 …

Human languages are full of metaphorical expressions. Metaphors help people understand
the world by connecting new concepts and domains to more familiar ones. Large pre-trained …

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 …

End-to-end training with Deep Neural Networks (DNN) is a currently popular method for
metaphor identification. However, standard sequence tagging models do not explicitly take …