Papers
229 papers found
Assessing the Representations of Idiomaticity in Vector Models with a Noun Compound Dataset Labeled at Type and Token Levels
Marcos Garcia, Tiago Kramer Vieira, Carolina Scarton et al.
Contextualized Embeddings Encode Monolingual and Cross-lingual Knowledge of Idiomaticity
Samin Fakharian, Paul Cook
Rolling the DICE on Idiomaticity: How LLMs Fail to Grasp Context
Maggie Mi, Aline Villavicencio, Nafise Sadat Moosavi
UoR-NCL at SemEval-2025 Task 1: Using Generative LLMs and CLIP Models for Multilingual Multimodal Idiomaticity Representation
Thanet Markchom, Tong Wu, Liting Huang et al.
dutir914 at SemEval-2025 Task 1: An integrated approach for Multimodal Idiomaticity Representations
Yanan Wang, Dailin Li, Yicen Tian et al.
JNLP at SemEval-2025 Task 1: Multimodal Idiomaticity Representation with Large Language Models
Blake Matheny, Phuong Minh Nguyen, Minh Le Nguyen
YNU-HPCC at SemEval-2025 Task 1: Enhancing Multimodal Idiomaticity Representation via LoRA and Hybrid Loss Optimization
Liu Lei, You Zhang, Jin Wang et al.
SemEval-2025 Task 1: AdMIRe - Advancing Multimodal Idiomaticity Representation
Thomas Pickard, Aline Villavicencio, Maggie Mi et al.
Leveraging Contextual Embeddings and Idiom Principle for Detecting Idiomaticity in Potentially Idiomatic Expressions
Reyhaneh Hashempour, Aline Villavicencio
Assessing BERT’s sensitivity to idiomaticity
Li Liu, Francois Lareau
Sign of the Times: Evaluating the use of Large Language Models for Idiomaticity Detection
Dylan Phelps, Thomas Pickard, Maggie Mi et al.
Probing for idiomaticity in vector space models
Marcos Garcia, Tiago Kramer Vieira, Carolina Scarton et al.
Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space
Filip Klubička, Vasudevan Nedumpozhimana, John Kelleher
AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models
Harish Tayyar Madabushi, Edward Gow-Smith, Carolina Scarton et al.
Assessing the Representations of Idiomaticity in Vector Models with a Noun Compound Dataset Labeled at Type and Token Levels
Marcos Garcia, Tiago Kramer Vieira, Carolina Scarton et al.
Contextualized Embeddings Encode Monolingual and Cross-lingual Knowledge of Idiomaticity
Samin Fakharian, Paul Cook
SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding
Harish Tayyar Madabushi, Edward Gow-Smith, Marcos Garcia et al.
Helsinki-NLP at SemEval-2022 Task 2: A Feature-Based Approach to Multilingual Idiomaticity Detection
Sami Itkonen, Jörg Tiedemann, Mathias Creutz
Hitachi at SemEval-2022 Task 2: On the Effectiveness of Span-based Classification Approaches for Multilingual Idiomaticity Detection
Atsuki Yamaguchi, Gaku Morio, Hiroaki Ozaki et al.
UAlberta at SemEval 2022 Task 2: Leveraging Glosses and Translations for Multilingual Idiomaticity Detection
Bradley Hauer, Seeratpal Jaura, Talgat Omarov et al.