A report on the 2020 VUA and TOEFL metaphor detection shared task

CW Leong, BB Klebanov, C Hamill… - Proceedings of the …, 2020 - aclanthology.org
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 …

Features of perceived metaphoricity on the discourse level: Abstractness and emotionality

P Piccirilli, SS Walde - arxiv preprint arxiv:2205.08939, 2022 - arxiv.org
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 …

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 …

What drives the use of metaphorical language? negative insights from abstractness, affect, discourse coherence and contextualized word representations

P Piccirilli, SS Walde - arxiv preprint arxiv:2205.11113, 2022 - arxiv.org
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" …

[PDF][PDF] Sensorimotor enhanced neural network for metaphor detection

M Wan, B **ng, Q Su, P Liu… - Proceedings of the 34th …, 2020 - aclanthology.org
Detecting metaphors is challenging due to the subtle ontological differences between
metaphorical and non-metaphorical expressions. Neural networks have been widely …

Neural metaphor detection with visibility embeddings

G Kehat, J Pustejovsky - Proceedings of* SEM 2021: The Tenth …, 2021 - aclanthology.org
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 …

Bridging Natural Language Processing and psycholinguistics: computationally grounded semantic similarity datasets for Basque and Spanish

J Goikoetxea, I San Martin, M Arantzeta - Frontiers in Language …, 2024 - frontiersin.org
Introduction Semantic relations are crucial in various cognitive processes, highlighting 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

G Alnafesah, P Smith, M Lee - Proceedings of the 14th …, 2023 - aclanthology.org
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 …

Neural Metaphor Detection for Slovene

M Klemen, M Robnik-Šikonja - CLARIN Annual Conference, 2023 - ecp.ep.liu.se
Metaphors are linguistic expressions using comparison with another concept to potentially
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 …