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Neural Metaphor Detection in Context

arXiv 1808.09653 ↗First posted 29 Aug 2018cs.CLcited by 34

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Abstract (arXiv)

We present end-to-end neural models for detecting metaphorical word use in context. We show that relatively standard BiLSTM models which operate on complete sentences work well in this setting, in comparison to previous work that used more restricted forms of linguistic context. These models establish a new state-of-the-art on existing verb metaphor detection benchmarks, and show strong performance on jointly predicting the metaphoricity of all words in a running text.

Key facts. Cited by 34 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Aug 2018.

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Citing papers per year: 2021: 11; 2022: 5; 2023: 10; 2024: 3; 2025: 2; 2026: 3.

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  1. 2023Can Large Language Models Transform Computational Social Science?cited by 245
  2. 2022Testing the Ability of Language Models to Interpret Figurative Languagecited by 67
  3. 2021RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledgecited by 60
  4. 2021MERMAID: Metaphor Generation with Symbolism and Discriminative Decodingcited by 49
  5. 2021MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theoriescited by 46
  6. 2021Investigating Robustness of Dialog Models to Popular Figurative Language Constructscited by 19
  7. 2023FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learningcited by 18
  8. 2023BRAINTEASER: Lateral Thinking Puzzles for Large Language Modelscited by 18
  9. 2021Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systemscited by 16
  10. 2021ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understandingcited by 14
  11. 2023Metaphor Detection with Effective Context Denoisingcited by 13
  12. 2023Metaphor Detection via Explicit Basic Meanings Modellingcited by 12
22 more
  1. 2021A Computational Framework for Slang Generationcited by 11
  2. 2023Adversarial Multi-task Learning for End-to-end Metaphor Detectioncited by 7
  3. 2023Construction Artifacts in Metaphor Identification Datasetscited by 5
  4. 2021How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detectioncited by 4
  5. 2025When People are Floods: Analyzing Dehumanizing Metaphors in Immigration Discourse with Large Language Modelscited by 4
  6. 2022Ring That Bell: A Corpus and Method for Multimodal Metaphor Detection in Videoscited by 3
  7. 2023Multilingual Multi-Figurative Language Detectioncited by 3
  8. 2025Looking Beyond the Obvious: A Survey on Abstract Concept Recognition for Video Understandingcited by 3
  9. 2021Impact of Target Word and Context on End-to-End Metonymy Detectioncited by 2
  10. 2023An Expectation-Realization Model for Metaphor Detectioncited by 2
  11. 2022PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification data for Learning Enhanced generationcited by 1
  12. 2024Curriculum-style Data Augmentation for LLM-based Metaphor Detectioncited by 1
  13. 2021Combining Pre-trained Word Embeddings and Linguistic Features for Sequential Metaphor Identificationcited by 0
  14. 2021On the Impact of Temporal Representations on Metaphor Detectioncited by 0
  15. 2022HYU at SemEval-2022 Task 2: Effective Idiomaticity Detection with Consideration at Different Levels of Contextualizationcited by 0
  16. 2022Metaphorical Paraphrase Generation: Feeding Metaphorical Language Models with Literal Textscited by 0
  17. 2023Deep Learning-Based Knowledge Injection for Metaphor Detection: A Comprehensive Reviewcited by 0
  18. 2024Enhancing Metaphor Detection through Soft Labels and Target Word Predictioncited by 0
  19. 2024Chinese Metaphor Recognition Using a Multi-stage Prompting Large Language Modelcited by 0
  20. 2026Post-Hoc Understanding of Metaphor Processing in Decoder-Only Language Models via Conditional Scale Entropycited by 0
  21. 2026When Meaning Travels: A Granular Lens on Hybrid-MoE's Role in Idiomatic Understanding for Language Modelscited by 0
  22. 2026Simile Understanding in Text-to-Image Models: An Evaluation Frameworkcited by 0