CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation (2024.lrec-main)
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| Challenge: | Metaphors are a prominent linguistic device in human language and literature, as they add color, imagery, and emphasis to enhance effective communication. |
| Approach: | They propose a large-scale high quality annotated Chinese Metaphor Corpus . they use a set of guidelines to ensure the accuracy and consistency of their annotations . |
| Outcome: | The proposed corpus generates metaphors that resonate more with real-world intuition. |
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| Challenge: | Nominal metaphors are commonly used in human language and have been shown to be effective in persuading, expressing emotion, and stimulating interest. |
| Approach: | They propose a multitask framework which optimizes three tasks: NM identification, NM component identification, and NM generation. |
| Outcome: | The proposed framework outperforms baselines on consistency and creativity on the NM generation task in Chinese. |
Construction of a Chinese Corpus for the Analysis of the Emotionality of Metaphorical Expressions (P18-2)
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| Challenge: | a corpus of 5,605 manually annotated sentences in Chinese is described . emotion is an abstract and vague conception, which is often described by metaphor . |
| Approach: | They propose to construct a corpus of metaphors annotated with emotion in Chinese . they use an annotation scheme to include linguistic metaphors, emotional categories and intensity . |
| Outcome: | The proposed corpus contains 5,605 manually annotated sentences in Chinese . the authors show that the corpus is large enough to analyze emotions . |
MetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language Modeling (2024.findings-acl)
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| Challenge: | Existing methods for metaphor interpretation are slow due to lack of annotated datasets and effective pre-trained language models. |
| Approach: | They propose a large annotated dataset and a PLM for the metaphor interpretation task. |
| Outcome: | The proposed method improves on metaphor identification and interpretation with comparable baselines on the new dataset. |
A Corpus of Non-Native Written English Annotated for Metaphor (N18-2)
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| Challenge: | Using argumentation-relevant metaphor predicts a holistic score of essay quality, we show . |
| Approach: | They present a corpus of argumentative essays annotated for metaphor by non-native speakers of English . they also examine the relationship between writing proficiency and metaphor use . |
| Outcome: | The proposed corpus is made publicly available and evaluated . it shows that metaphor is a significant predictor of a holistic score of essay quality . |
MultiCMET: A Novel Chinese Benchmark for Understanding Multimodal Metaphor (2023.findings-emnlp)
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| Challenge: | Existing research on multimodal metaphors does not address categorizing the source and target domains in metaphors beyond the English language. |
| Approach: | They propose a Cascading Domain Knowledge Integration benchmark to detect metaphors by introducing domain-specific lexical features. |
| Outcome: | The proposed dataset includes 13,820 text-image pairs of advertisements with manual annotations of the occurrence of metaphors, domain categories, and sentiments metaphors convey. |
Chinese Metaphorical Relation Extraction: Dataset and Models (2023.findings-emnlp)
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| Challenge: | Metaphor identification is a core task in metaphor processing, which involves recognizing and analyzing metaphorical expressions in text. |
| Approach: | They propose a new formulation of metaphor identification as a relation extraction problem . they use a dataset to analyze metaphorical relations between two spans, a target and a source . |
| Outcome: | The proposed model can capture the properties of the target and source in Chinese sentences. |
CERD: A Comprehensive Chinese Rhetoric Dataset for Rhetorical Understanding and Generation in Essays (2024.findings-emnlp)
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Nuowei Liu, Xinhao Chen, Hongyi Wu, Changzhi Sun, Man Lan, Yuanbin Wu, Xiaopeng Bai, Shaoguang Mao, Yan Xia
| Challenge: | Existing rhetorical understanding and generation datasets focus on single coarse-grained categories or fine-grain categories, neglecting the intrinsic connections between different rhetorical devices. |
| Approach: | They propose a Chinese Essay Rhetoric Dataset with four coarse-grained categories . they propose to treat these categories as separate sub-tasks, thereby improving writing skills . |
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Metaphor and Large Language Models: When Surface Features Matter More than Deep Understanding (2025.findings-acl)
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| Challenge: | Existing studies on metaphor processing have focused on single datasets and specific task settings, often using artificially constructed data through lexical replacement. |
| Approach: | They propose to evaluate the capabilities of Large Language Models (LLMs) in metaphor interpretation across multiple datasets, tasks, and prompt configurations. |
| Outcome: | The proposed frameworks are more realistic and efficient than current models and are more efficient than existing models. |
How to Avoid Sentences Spelling Boring? Towards a Neural Approach to Unsupervised Metaphor Generation (N19-1)
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| Challenge: | Existing approaches to generate metaphors rely on template-based or rule-based knowledge, which constrains the diversity of generated metaphors. |
| Approach: | They propose a neural approach to metaphor generation that uses wiki corpus to extract metaphorically used verbs and train a language model. |
| Outcome: | The proposed approach generates metaphors with good readability and creativity using wiki corpus and automatic metrics and human evaluations. |
Using a Corpus of English and Chinese Political Speeches for Metaphor Analysis (L18-1)
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| Challenge: | specialized corpora on a variety of topics are available online, but online corporates are scarce. |
| Approach: | They propose to create a corpus of political speeches and use it for metaphor analysis . they propose to use the database to search for lexical frequencies and collocation lists . |
| Outcome: | The proposed corpus contains more than six million speeches in English and Chinese and is available for free online. |