| Challenge: | Recent studies on metaphor and metonymy have focused on hyperbole, but it is a relatively understudied phenomenon in the figurative language processing community. |
| Approach: | They propose to use hyperbole detection to determine whether a sentence is hyperbolic . they also perform statistical and manual analyses of the corpus and address the automatic hyperbola detection task. |
| Outcome: | The proposed dataset consists of 709 hyperbolic sentences with a non-hyperbolic version created by paraphrasing its hyperbolical counterpart. |
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A Computational Exploration of Exaggeration (D18-1)
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| Challenge: | a new computational approach to exaggeration detection is needed for non-literal phenomena . a corpus of overstatements (or hyperboles) is used to detect exaggrements . |
| Approach: | They propose a computational approach to detect exaggerated sentences using crowdsourcing data . they build a corpus containing overstatements and then evaluate models trained on HYPO . |
| Outcome: | The proposed approach can detect exaggerated sentences using a crowdsourced dataset. |
HypoGen: Hyperbole Generation with Commonsense and Counterfactual Knowledge (2021.findings-emnlp)
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| Challenge: | despite its abundance, the computational explorations of hyperboles remain under-explored. |
| Approach: | They propose a sentence-level hyperbole generation method that leverages commonsense and counterfactual inference to generate hyperbolic candidates based on the results. |
| Outcome: | The proposed method generates hyperboles with high success rate, intensity, funniness, and creativity. |
Enhancing Hyperbole and Metaphor Detection with Their Bidirectional Dynamic Interaction and Emotion Knowledge (2025.acl-long)
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| Challenge: | Existing methods for hyperbole and metaphor detection focus on superficial text features, ignoring the associations of hyperbola and metaphor . Existing frameworks focus on identifying superficial text, focusing on superficial features . |
| Approach: | They propose an emotion-guided hyperbole and metaphor detection framework based on bidirectional dynamic interaction. |
| Outcome: | The proposed framework outperforms baseline methods on four datasets. |
Image Matters: A New Dataset and Empirical Study for Multimodal Hyperbole Detection (2024.lrec-main)
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| Challenge: | linguistic detection of hyperbole is an important part of understanding human expression . studies on hyperbolic expressions focus on text modality, but social media can be used to detect it . |
| Approach: | They propose to use a multimodal detection dataset to study hyperbole detection . they treat text and image as two modalities and evaluate pre-trained encoders . |
| Outcome: | The proposed dataset is constructed from five different keywords and shows its performance. |
Verifying Claims About Metaphors with Large-Scale Automatic Metaphor Identification (2024.naacl-short)
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| Challenge: | Existing studies on metaphors have focused on a small number of examples, whereas few studies verify claims with large corpus. |
| Approach: | They propose to use a large corpus to verify existing claims about verb metaphors . they apply metaphor detection to sentences extracted from Common Crawl . |
| Outcome: | The proposed method identifies verb metaphors with lower concreteness, imageability, familiarity and more emotional and subjective sentences. |
Mind Your Bias: A Critical Review of Bias Detection Methods for Contextual Language Models (2022.findings-emnlp)
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| Challenge: | Existing methods for detection of biases in contextual language models are inconsistent and inconclusive. |
| Approach: | They propose to use word embedding association test to detect biases in contextual language models to compare them with other methods. |
| Outcome: | The proposed methods are inconsistent and inconclusive for language models with word embeddings. |
MOVER: Mask, Over-generate and Rank for Hyperbole Generation (2022.naacl-main)
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| Challenge: | despite being a common figure of speech, hyperbole is under-researched in Figurative Language Processing . we use an unsupervised method to generate hyperbolic paraphrases from literal sentences . |
| Approach: | They propose an unsupervised method for hyperbole generation that does not require parallel literal-hyperbole pairs. |
| Outcome: | The proposed method outperforms baseline systems and is based on a large-scale English hyperbole corpus. |
Do Neural Language Models Overcome Reporting Bias? (2020.coling-main)
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| Challenge: | Recent studies show that pre-trained language models can overcome reporting bias by estimating the plausibility of rare but unspoken facts. |
| Approach: | They revisit the experiments conducted by Gordon and Van Durme (2013) . they find that pre-trained language models overestimate the very rare . |
| Outcome: | The proposed approach overestimates the rare at the expense of the rare, while minimizing reporting bias. |
Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges (2025.acl-long)
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Bolei Ma, Yuting Li, Wei Zhou, Ziwei Gong, Yang Janet Liu, Katja Jasinskaja, Annemarie Friedrich, Julia Hirschberg, Frauke Kreuter, Barbara Plank
| Challenge: | linguistics studies how context influences meaning of language and how people use it to convey implied meanings, emotions, and intentions. |
| Approach: | They analyze task designs, data collection methods, evaluation approaches and their relevance to real-world applications. |
| Outcome: | The findings highlight emerging trends, challenges, and gaps in existing benchmarks . the findings will contribute to more nuanced and context-aware NLP models . |
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) (2025.acl-demo)
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| Challenge: | ACL 2025 System Demonstration Track accepted 64 papers based on reviews . short-listed 7 papers for Best System Demo award . |
| Approach: | the ACL 2025 System Demonstration Track is a conference for papers describing system demonstrations . the track received a record 187 submissions, of which 178 papers were valid with required materials . |
| Outcome: | the ACL 2025 System Demonstration Track received 187 submissions . 178 papers were valid with required materials . |