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Workshop on Figurative Language Processing 2020 — accepted papers

Workshop on Figurative Language Processing 2020 is the 2020 edition of the Workshop on Figurative Language Processing, held in Online, July 2020 (publisher: Association for Computational Linguistics). The ACL Anthology lists 38 papers of it; our library holds 15 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

  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

All accepted papers (38)

The most cited first; 15 with our summary link to their page here, the others to the original.

  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

See all 38 papers in Workshop on Figurative Language Processing 2020 — accepted papers →

 Papers with our summary in our library (15)

The most cited first (OpenAlex citations plus our library's).

  1. A Report on the 2020 VUA and TOEFL Metaphor Detection Shared TaskChee Wee (Ben) Leong, Beata Beigman Klebanov, Chris Hamill, et al.2020 · 138 citations
  2. A Report on the 2020 Sarcasm Detection Shared TaskDebanjan Ghosh, Avijit Vajpayee, Smaranda Muresan2020 · 92 citations
  3. A Novel Hierarchical BERT Architecture for Sarcasm DetectionHimani Srivastava, Vaibhav Varshney, Surabhi Kumari, et al.2020 · 62 citations
  4. Context-Aware Sarcasm Detection Using BERTArup Baruah, Kaushik Das, Ferdous Barbhuiya, et al.2020 · 59 citations
  5. Applying Transformers and Aspect-based Sentiment Analysis approaches on Sarcasm DetectionTaha Shangipour ataei, Soroush Javdan, Behrouz Minaei-Bidgoli2020 · 56 citations
  6. Sarcasm Detection Using an Ensemble ApproachJens Lemmens, Ben Burtenshaw, Ehsan Lotfi, et al.2020 · 56 citations
  7. Detecting Sarcasm in Conversation Context Using Transformer-Based ModelsAdithya Avvaru, Sanath Vobilisetty, Radhika Mamidi2020 · 46 citations
  8. A Transformer Approach to Contextual Sarcasm Detection in TwitterHunter Gregory, Steven Li, Pouya Mohammadi, et al.2020 · 38 citations
  9. C-Net: Contextual Network for Sarcasm DetectionAmit Kumar Jena, Aman Sinha, Rohit Agarwal2020 · 38 citations
  10. Sarcasm Detection using Context Separators in Online DiscourseTanvi Dadu, Kartikey Pant2020 · 37 citations
  11. Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social MediaXiangjue Dong, Changmao Li, Jinho D. Choi2020 · 35 citations
  12. Transformers on Sarcasm Detection with ContextAmardeep Kumar, Vivek Anand2020 · 34 citations
  13. Neural Sarcasm Detection using Conversation ContextNikhil Jaiswal2020 · 32 citations
  14. Sarcasm Identification and Detection in Conversion Context using BERTKalaivani A., Thenmozhi D.2020 · 31 citations
  15. Augmenting Data for Sarcasm Detection with Unlabeled Conversation ContextHankyol Lee, Youngjae Yu, Gunhee Kim2020 · 27 citations

 Top topics

Topics of its works in our library, with the number of works on each.

Sentiment & emotion (14)Idioms & multiword expressions (1)English (1)

 Fields

Arts and Humanities (15)Computer Science (15)Psychology (1)

 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

 Top institutions

Institutions on the bylines of its works here, by the number of works.

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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