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Workshop on Figurative Language Processing 2020: all accepted papers

38 papers · the most cited first · ← Workshop on Figurative Language Processing 2020

  1. A Report on the 2020 VUA and TOEFL Metaphor Detection Shared TaskChee Wee (Ben) Leong, Beata Beigman Klebanov, Chris Hamill et al.67 citations · our summary
  2. DeepMet: A Reading Comprehension Paradigm for Token-level Metaphor DetectionChuandong Su, Fumiyo Fukumoto, Xiaoxi Huang et al.64 citations
  3. A Report on the 2020 Sarcasm Detection Shared TaskDebanjan Ghosh, Avijit Vajpayee, Smaranda Muresan57 citations · our summary
  4. A Novel Hierarchical BERT Architecture for Sarcasm DetectionHimani Srivastava, Vaibhav Varshney, Surabhi Kumari et al.53 citations · our summary
  5. Context-Aware Sarcasm Detection Using BERTArup Baruah, Kaushik Das, Ferdous Barbhuiya et al.50 citations · our summary
  6. Sarcasm Detection Using an Ensemble ApproachJens Lemmens, Ben Burtenshaw, Ehsan Lotfi et al.49 citations · our summary
  7. Applying Transformers and Aspect-based Sentiment Analysis approaches on Sarcasm DetectionTaha Shangipour ataei, Soroush Javdan, Behrouz Minaei-Bidgoli45 citations · our summary
  8. Detecting Sarcasm in Conversation Context Using Transformer-Based ModelsAdithya Avvaru, Sanath Vobilisetty, Radhika Mamidi38 citations · our summary
  9. C-Net: Contextual Network for Sarcasm DetectionAmit Kumar Jena, Aman Sinha, Rohit Agarwal32 citations · our summary
  10. A Transformer Approach to Contextual Sarcasm Detection in TwitterHunter Gregory, Steven Li, Pouya Mohammadi et al.31 citations · our summary
  11. Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social MediaXiangjue Dong, Changmao Li, Jinho D. Choi28 citations · our summary
  12. Transformers on Sarcasm Detection with ContextAmardeep Kumar, Vivek Anand28 citations · our summary
  13. Sarcasm Detection using Context Separators in Online DiscourseTanvi Dadu, Kartikey Pant27 citations · our summary
  14. Sarcasm Identification and Detection in Conversion Context using BERTKalaivani A., Thenmozhi D.26 citations · our summary
  15. Neural Sarcasm Detection using Conversation ContextNikhil Jaiswal24 citations · our summary
  16. Metaphor Detection Using Contextual Word Embeddings From TransformersJerry Liu, Nathan O'Hara, Alexander Rubin et al.23 citations
  17. Augmenting Data for Sarcasm Detection with Unlabeled Conversation ContextHankyol Lee, Youngjae Yu, Gunhee Kim17 citations · our summary
  18. Metaphor Detection using Context and ConcretenessRowan Hall Maudslay, Tiago Pimentel, Ryan Cotterell et al.16 citations
  19. Being neighbourly: Neural metaphor identification in discourseVerna Dankers, Karan Malhotra, Gaurav Kudva et al.15 citations
  20. Using Conceptual Norms for Metaphor DetectionMingyu Wan, Kathleen Ahrens, Emmanuele Chersoni et al.15 citations
  21. ALBERT-BiLSTM for Sequential Metaphor DetectionShuqun Li, Jingjie Zeng, Jinhui Zhang et al.11 citations
  22. Augmenting Neural Metaphor Detection with ConcretenessGhadi Alnafesah, Harish Tayyar Madabushi, Mark Lee11 citations
  23. Supervised Disambiguation of German Verbal Idioms with a BiLSTM ArchitectureRafael Ehren, Timm Lichte, Laura Kallmeyer et al.10 citations
  24. Neural Metaphor Detection with a Residual biLSTM-CRF ModelAndrés Torres Rivera, Antoni Oliver, Salvador Climent et al.9 citations
  25. Oxymorons: a preliminary corpus investigationMarta La Pietra, Francesca Masini7 citations
  26. Context-Driven Satirical News GenerationZachary Horvitz, Nam Do, Michael L. Littman6 citations
  27. Generating Ethnographic Models from Communities' Online DataTomek Strzalkowski, Anna Newheiser, Nathan Kemper et al.2 citations
  28. Testing the role of metadata in metaphor identificationEgon Stemle, Alexander Onysko2 citations

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