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MetaPro: A computational metaphor processing model for text pre-processing
Metaphor is a special linguistic phenomenon, challenging diverse natural language
processing tasks. Previous works focused on either metaphor identification or domain …
processing tasks. Previous works focused on either metaphor identification or domain …
A survey on pragmatic processing techniques
Pragmatics, situated in the domains of linguistics and computational linguistics, explores the
influence of context on language interpretation, extending beyond the literal meaning of …
influence of context on language interpretation, extending beyond the literal meaning of …
A comprehensive overview of cfn from a commonsense perspective
Chinese FrameNet (CFN) is a scenario commonsense knowledge base (CKB) that plays an
important role in research on Chinese language understanding. It is based on the theory of …
important role in research on Chinese language understanding. It is based on the theory of …
A survey on computational metaphor processing techniques: From identification, interpretation, generation to application
Metaphors are figurative expressions frequently appearing daily. Given its significance in
downstream natural language processing tasks such as machine translation and sentiment …
downstream natural language processing tasks such as machine translation and sentiment …
Decoding word embeddings with brain-based semantic features
Word embeddings are vectorial semantic representations built with either counting or
predicting techniques aimed at capturing shades of meaning from word co-occurrences …
predicting techniques aimed at capturing shades of meaning from word co-occurrences …
A theory guided scaffolding instruction framework for LLM-enabled metaphor reasoning
Metaphor detection is a challenging task in figurative language processing, which aims to
distinguish between metaphorical and literal expressions in text. Existing methods tackle …
distinguish between metaphorical and literal expressions in text. Existing methods tackle …
Verb metaphor detection via contextual relation learning
Correct natural language understanding requires computers to distinguish the literal and
metaphorical senses of a word. Recent neu-ral models achieve progress on verb metaphor …
metaphorical senses of a word. Recent neu-ral models achieve progress on verb metaphor …
Perceptional and actional enrichment for metaphor detection with sensorimotor norms
Understanding the nature of meaning and its extensions (with metaphor as one typical kind)
has been one core issue in figurative language study since Aristotle's time. This research …
has been one core issue in figurative language study since Aristotle's time. This research …
CATE: A contrastive pre-trained model for metaphor detection with semi-supervised learning
Metaphors are ubiquitous in natural language, and detecting them requires contextual
reasoning about whether a semantic incongruence actually exists. Most existing work …
reasoning about whether a semantic incongruence actually exists. Most existing work …
Leveraging contextual embeddings and idiom principle for detecting idiomaticity in potentially idiomatic expressions
R Hashempour, A Villavicencio - … of the Workshop on the Cognitive …, 2020 - aclanthology.org
The majority of studies on detecting idiomatic expressions have focused on discovering
potentially idiomatic expressions overlooking the context. However, many idioms like blow …
potentially idiomatic expressions overlooking the context. However, many idioms like blow …