Context (archaeology)

Linguistics

Philosophy

Context model

Biology

Archaeology

Computer science

Paleontology

Natural language processing

Object (grammar)

Verb

Artificial intelligence

Programming language

Word (group theory)

Metaphor

State (computer science)

History

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 well in this setting, in comparison to previous work that used more restricted forms of linguistic context. These models establish a new state-of-the-art on existing verb metaphor detection benchmarks, and show strong performance on jointly predicting the metaphoricity of all words in a running text.

Neural Metaphor Detection in Context