Learn Before
Metaphorical Paraphrase Generation: Feeding Metaphorical Language Models with Literal Texts
This study presents a new approach to metaphorical paraphrase generation by masking literal tokens of literal sentences and unmasking them with metaphorical language models.
With this work we present a new metaphorical language generation perspective by transferring literal to metaphorical texts. The transfer concerns the replacement of tokens of different parts of speech, not only the common verb type Stowe et al. [2021], Chakrabarty et al. [2021], Yu and Wan [2019], but also nouns and adjectives (examples shown in Fig. 1).
0
1
Tags
Cognitive Neuroscience
Language
Psychology
Neuroscience (Neurobiology)
Social Science
Empirical Science
Science
Life Science / Biology
Biomedical Sciences
Natural language processing
Natural Science
Data Science
Related
Hemispheric differences
Hypotheses of underlying mechanisms
Metaphor Generation with Conceptual Mappings
Evaluation Metrics for Automatically Generated Metaphorical Expressions
Finding metaphorical triggers through source (not target) domain lexicalization patterns
Metaphorical Paraphrase Generation: Feeding Metaphorical Language Models with Literal Texts