MetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language Modeling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AGI5GBR5Q" target="_blank" >RIV/00216208:11320/25:GI5GBR5Q - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204478984&partnerID=40&md5=a0f304b2652606cfd4b0c389d7de871b" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204478984&partnerID=40&md5=a0f304b2652606cfd4b0c389d7de871b</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
MetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language Modeling
Original language description
Metaphor interpretation is a difficult task in natural language understanding. The development of relevant techniques in this domain is slow, mostly because of the lack of large annotated datasets and effective pre-trained language models (PLMs) for metaphor learning. Thus, we propose a large annotated dataset and a PLM for the metaphor interpretation task. Our foundation model is based on a novel anomalous language modeling (ALM) method, which we benchmark with comparable PLM baselines on the new dataset, finding that it largely improves model performance on metaphor identification and interpretation. © 2024 Association for Computational Linguistics.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proc. Annu. Meet. Assoc. Comput Linguist.
ISBN
979-889176099-8
ISSN
0736-587X
e-ISSN
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Number of pages
18
Pages from-to
9891-9908
Publisher name
Association for Computational Linguistics (ACL)
Place of publication
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Event location
Bangkok
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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