Идентификация метафор
Related Papers
Metaphor Identification as Interpretation
Automatic metaphor identification and inter- pretation in text have been traditionally con- sidered as two separate tasks in natural lan- guage processing (NLP) and addressed in- dividually within computational frameworks. …...
Black Holes and White Rabbits: Metaphor Identification with Visual Features
Metaphor is pervasive in our communication, which makes it an important problem for nat- ural language processing (NLP). Numerous approaches to metaphor processing have thus been proposed, all of which …...
Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection
AbstractThe ubiquity of metaphor in our everyday communication makes it an important problem for natural language understanding. Yet, the majority of metaphor processing systems to date rely on hand-engineered features …...
Using Automated Metaphor Identification to Aid in Detection and Prediction of First-Episode Schizophrenia
AbstractThe diagnosis of serious mental health conditions such as schizophrenia is based on the judgment of clinicians whose training takes several years, and cannot be easily formalized into objective measures. …...
End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories
AbstractEnd-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 advantage of linguistic theories of metaphor …...
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification
AbstractMost current approaches to metaphor identification use restricted linguistic contexts, e.g. by considering only a verb’s arguments or the sentence containing a phrase. Inspired by pragmatic accounts of metaphor, we …...
Contextual Modulation for Relation-Level Metaphor Identification
AbstractIdentifying metaphors in text is very challenging and requires comprehending the underlying comparison. The automation of this cognitive process has gained wide attention lately. However, the majority of existing approaches …...