idiom detection

A Unified Turkic Idiom Understanding Benchmark: Idiom Detection and Semantic Retrieval Across Five Turkic Languages EACL 2026 ITUNLP2 at MWE-2026 AdMIRe 2: Modular Zero-Shot Pipelines for Multimodal Idiom Grounding and Ranking EACL 2026 A European Portuguese corpus annotated for verbal idioms NAACL 2025 Easy as PIE? Identifying Multi-Word Expressions with LLMs EMNLP 2025 JNLP at SemEval-2025 Task 1: Multimodal Idiomaticity Representation with Large Language Models SemEval 2025 A Hard Nut to Crack: Idiom Detection with Conversational Large Language Models NAACL 2024 Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space EACL 2023 HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection SemEval 2022 Leveraging Three Types of Embeddings from Masked Language Models in Idiom Token Classification NAACL 2022 SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding SemEval 2022 AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models EMNLP 2021 Contextualized Embeddings Encode Monolingual and Cross-lingual Knowledge of Idiomaticity ACL 2021 Data-driven Identification of Idioms in Song Lyrics ACL 2021 Leveraging Contextual Embeddings and Idiom Principle for Detecting Idiomaticity in Potentially Idiomatic Expressions COLING 2020 Catching Idiomatic Expressions in EFL Essays NAACL 2018 Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection COLING 2018 Leveraging distributed representations and lexico-syntactic fixedness for token-level prediction of the idiomaticity of English verb-noun combinations ACL 2018 One Size Fits All? A simple LSTM for non-literal token and construction-level classification COLING 2018