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A report on the 2020 VUA and TOEFL metaphor detection shared task
In this paper, we report on the shared task on metaphor identification on VU Amsterdam
Metaphor Corpus and on a subset of the TOEFL Native Language Identification Corpus. The …
Metaphor Corpus and on a subset of the TOEFL Native Language Identification Corpus. The …
Features of perceived metaphoricity on the discourse level: Abstractness and emotionality
Research on metaphorical language has shown ties between abstractness and emotionality
with regard to metaphoricity; prior work is however limited to the word and sentence levels …
with regard to metaphoricity; prior work is however limited to the word and sentence levels …
Collaborative semantic representation network for metaphor detection
Q Yang, L Yu, S Tian, J Song - Applied Soft Computing, 2021 - Elsevier
Metaphorical expressions are widely present in natural language, which brings huge
challenges to various natural language processing tasks such as machine translation …
challenges to various natural language processing tasks such as machine translation …
What drives the use of metaphorical language? negative insights from abstractness, affect, discourse coherence and contextualized word representations
Given a specific discourse, which discourse properties trigger the use of metaphorical
language, rather than using literal alternatives? For example, what drives people to say" …
language, rather than using literal alternatives? For example, what drives people to say" …
[PDF][PDF] Sensorimotor enhanced neural network for metaphor detection
Detecting metaphors is challenging due to the subtle ontological differences between
metaphorical and non-metaphorical expressions. Neural networks have been widely …
metaphorical and non-metaphorical expressions. Neural networks have been widely …
Neural metaphor detection with visibility embeddings
We present new results for the problem of sequence metaphor labeling, using the recently
developed Visibility Embeddings. We show that concatenating such embeddings to the input …
developed Visibility Embeddings. We show that concatenating such embeddings to the input …
Bridging Natural Language Processing and psycholinguistics: computationally grounded semantic similarity datasets for Basque and Spanish
Introduction Semantic relations are crucial in various cognitive processes, highlighting the
need to understand concept interactions and how such relations are represented in the …
need to understand concept interactions and how such relations are represented in the …
Are you not moved? Incorporating Sensorimotor Knowledge to Improve Metaphor Detection
Metaphors use words from one domain of knowledge to describe another, which can make
the meaning less clear and require human interpretation to understand. This makes it …
the meaning less clear and require human interpretation to understand. This makes it …
Neural Metaphor Detection for Slovene
Metaphors are linguistic expressions using comparison with another concept to potentially
improve the language expressivity. Due to relevant downstream applications, metaphor …
improve the language expressivity. Due to relevant downstream applications, metaphor …
Between Visualizability and Abstractness: Deploying Visual Text to Detect Non-literal Language
G Kehat - 2022 - search.proquest.com
Many tasks can benefit from the use of multimodal resources, such as vision-
languagedatasets, which include images along with textual pieces of information. A common …
languagedatasets, which include images along with textual pieces of information. A common …