The paper addresses the classification of isolated Polish adjective-noun phrases according to their metaphoricity. We tested neural networks to predict if a phrase has a literal or metaphorical sense or can have both senses depending on usage. The input to the neural network consists of word embeddings, but we also tested the impact of information about the domain of the adjective and about the abstractness of the noun. We applied our solution to English data available on the Internet and compared it to results published in papers. We found that the solution based on word embeddings only can achieve results comparable with complex solutions requiring additional information.
Mykowiecka et al. REF found that only word embedding based solutions can achieve results comparable to complex solutions that require additional linguistic features.
Literal, Metphorical or Both? Detecting Metaphoricity in Isolated Adjective-Noun Phrases
Proceedings of the Workshop on Figurative Language Processing
Proceedings of the Workshop on Figurative Language Processing
Psychology