Enhancing Idiomatic Representation in Multiple Languages via an Adaptive
Contrastive Triplet Loss

Enhancing Idiomatic Representation in Multiple Languages via an Adaptive Contrastive Triplet Loss

21 June 2024

Carolina Scarton

Aline Villavicencio

Papers citing "Enhancing Idiomatic Representation in Multiple Languages via an Adaptive Contrastive Triplet Loss"

7 / 7 papers shown

Title
SemEval-2025 Task 1: AdMIRe -- Advancing Multimodal Idiomaticity Representation Thomas Pickard Aline Villavicencio Maggie Mi Wei He Dylan Phelps Carolina Scarton 67 1 0 19 Mar 2025
UoR-NCL at SemEval-2025 Task 1: Using Generative LLMs and CLIP Models for Multilingual Multimodal Idiomaticity Representation Thanet Markchom Tong Wu Liting Huang Huizhi Liang 73 1 0 28 Feb 2025
Non-Compositionality in Sentiment: New Data and Analyses Verna Dankers Christopher G. Lucas CoGe 27 1 0 31 Oct 2023
Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space Filip Klubicka Vasudevan Nedumpozhimana John D. Kelleher 22 3 0 27 Apr 2023
Text and Code Embeddings by Contrastive Pre-Training Arvind Neelakantan Tao Xu Raul Puri Alec Radford Jesse Michael Han ... Tabarak Khan Toki Sherbakov Joanne Jang Peter Welinder Lilian Weng SSL AI4TS 191 412 0 24 Jan 2022
Investigating Robustness of Dialog Models to Popular Figurative Language Constructs Harsh Jhamtani Varun Gangal Eduard H. Hovy Taylor Berg-Kirkpatrick 26 18 0 01 Oct 2021
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning Yujia Qin Yankai Lin Ryuichi Takanobu Zhiyuan Liu Peng Li Heng Ji Minlie Huang Maosong Sun Jie Zhou 38 125 0 30 Dec 2020