{"total":19,"rows":[{"id":"2204.10050","title":"SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding","created":"2022-04-21","cited_by_count":36,"area":null},{"id":"2405.09279","title":"Sign of the Times: Evaluating the use of Large Language Models for Idiomaticity Detection","created":"2024-05-15","cited_by_count":11,"area":null},{"id":"2410.16069","title":"Rolling the DICE on Idiomaticity: How LLMs Fail to Grasp Context","created":"2024-10-21","cited_by_count":11,"area":null},{"id":"2401.15393","title":"Semantics of Multiword Expressions in Transformer-Based Models: A Survey","created":"2024-01-27","cited_by_count":9,"area":null},{"id":"2112.08592","title":"Idiomatic Expression Paraphrasing without Strong Supervision","created":"2021-12-16","cited_by_count":7,"area":null},{"id":"2503.06048","title":"Constructions are Revealed in Word Distributions","created":"2025-03-08","cited_by_count":6,"area":null},{"id":"2207.03679","title":"Getting BART to Ride the Idiomatic Train: Learning to Represent Idiomatic Expressions","created":"2022-07-08","cited_by_count":4,"area":null},{"id":"2204.06145","title":"HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection","created":"2022-04-13","cited_by_count":3,"area":null},{"id":"2306.00121","title":"Multilingual Multi-Figurative Language Detection","created":"2023-05-31","cited_by_count":3,"area":null},{"id":"2310.19127","title":"Unified Representation for Non-compositional and Compositional Expressions","created":"2023-10-29","cited_by_count":2,"area":null},{"id":"2511.16345","title":"NLP Datasets for Idiom and Figurative Language Tasks","created":"2025-11-20","cited_by_count":2,"area":null},{"id":"2312.06053","title":"IEKG: A Commonsense Knowledge Graph for Idiomatic Expressions","created":"2023-12-11","cited_by_count":1,"area":null},{"id":"2411.02610","title":"Investigating Idiomaticity in Word Representations","created":"2024-11-04","cited_by_count":1,"area":null},{"id":"2411.18260","title":"MetaphorShare: A Dynamic Collaborative Repository of Open Metaphor Datasets","created":"2024-11-27","cited_by_count":1,"area":null},{"id":"2206.11854","title":"HYU at SemEval-2022 Task 2: Effective Idiomaticity Detection with Consideration at Different Levels of Contextualization","created":"2022-06-01","cited_by_count":0,"area":null},{"id":"2305.06801","title":"Detecting Idiomatic Multiword Expressions in Clinical Terminology using Definition-Based Representation Learning","created":"2023-05-11","cited_by_count":0,"area":null},{"id":"2505.06062","title":"Attention on Multiword Expressions: A Multilingual Study of BERT-based Models with Regard to Idiomaticity and Microsyntax","created":"2025-05-09","cited_by_count":0,"area":null},{"id":"2603.22799","title":"Span Modeling for Idiomaticity and Figurative Language Detection with Span Contrastive Loss","created":"2026-03-24","cited_by_count":0,"area":null},{"id":"2605.22247","title":"IdioLink: Retrieving Meaning Beyond Words Across Idiomatic and Literal Expressions","created":"2026-05-21","cited_by_count":0,"area":null}],"next_cursor":null}