Fig-Lang@NAACL-HLT - researchr conference series publications

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2020

Augmenting Neural Metaphor Detection with ConcretenessGhadi Alnafesah, Harish Tayyar Madabushi, Mark Lee. acl-figlang 2020: 204-210 [doi]

Applying Transformers and Aspect-based Sentiment Analysis approaches on Sarcasm DetectionTaha Shangipour Ataei, Soroush Javdan, Behrouz Minaei-Bidgoli. acl-figlang 2020: 67-71 [doi]

Detecting Sarcasm in Conversation Context Using Transformer-Based ModelsAdithya Avvaru, Sanath Vobilisetty, Radhika Mamidi. acl-figlang 2020: 98-103 [doi]

Context-Aware Sarcasm Detection Using BERTArup Baruah, Kaushik Amar Das, Ferdous A. Barbhuiya, Kuntal Dey. acl-figlang 2020: 83-87 [doi]

Sky + Fire = Sunset. Exploring Parallels between Visually Grounded Metaphors and Image ClassifiersYuri Bizzoni, Simon Dobnik. acl-figlang 2020: 126-135 [doi]

Metaphor Detection using Ensembles of Bidirectional Recurrent Neural NetworksJennifer Brooks, Abdou Youssef. acl-figlang 2020: 244-249 [doi]

Go Figure! Multi-task transformer-based architecture for metaphor detection using idioms: ETS team in 2020 metaphor shared taskXianyang Chen, Chee Wee Leong, Michael Flor, Beata Beigman Klebanov. acl-figlang 2020: 235-243 [doi]

Sarcasm Detection using Context Separators in Online DiscourseTanvi Dadu, Kartikey Pant. acl-figlang 2020: 51-55 [doi]

Being neighbourly: Neural metaphor identification in discourseVerna Dankers, Karan Malhotra, Gaurav Kudva, Volodymyr Medentsiy, Ekaterina Shutova. acl-figlang 2020: 227-234 [doi]

Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social MediaXiangjue Dong, Changmao Li, Jinho D. Choi. acl-figlang 2020: 276-280 [doi]

Supervised Disambiguation of German Verbal Idioms with a BiLSTM ArchitectureRafael Ehren, Timm Lichte, Laura Kallmeyer, Jakub Waszczuk. acl-figlang 2020: 211-220 [doi]

Recognizing Euphemisms and Dysphemisms Using Sentiment AnalysisChristian Felt, Ellen Riloff. acl-figlang 2020: 136-145 [doi]

A Report on the 2020 Sarcasm Detection Shared TaskDebanjan Ghosh, Avijit Vajpayee, Smaranda Muresan. acl-figlang 2020: 1-11 [doi]

IlliniMet: Illinois System for Metaphor Detection with Contextual and Linguistic InformationHongyu Gong, Kshitij Gupta, Akriti Jain, Suma Bhat. acl-figlang 2020: 146-153 [doi]

A Transformer Approach to Contextual Sarcasm Detection in TwitterHunter Gregory, Steven Li, Pouya Mohammadi, Natalie Tarn, Rachel Lea Draelos, Cynthia Rudin. acl-figlang 2020: 270-275 [doi]

Context-Driven Satirical News GenerationZachary Horvitz, Nam Do, Michael L. Littman. acl-figlang 2020: 40-50 [doi]

Neural Sarcasm Detection using Conversation ContextNikhil Jaiswal. acl-figlang 2020: 77-82 [doi]

C-Net: Contextual Network for Sarcasm DetectionAmit Kumar Jena, Aman Sinha, Rohit Agarwal. acl-figlang 2020: 61-66 [doi]

Sarcasm Identification and Detection in Conversion Context using BERTA. Kalaivani, D. Thenmozhi. acl-figlang 2020: 72-76 [doi]

Sarcasm Detection in Tweets with BERT and GloVe EmbeddingsAkshay Khatri, Pranav P. acl-figlang 2020: 56-60 [doi]

Proceedings of the Second Workshop on Figurative Language Processing, Fig-Lang@ACL 2020, Online, July 9, 2020Beata Beigman Klebanov, Ekaterina Shutova, Patricia Lichtenstein, Smaranda Muresan, Chee Wee Leong, Anna Feldman, Debanjan Ghosh, editors, Association for Computational Linguistics, 2020. [doi]

Transformers on Sarcasm Detection with ContextAmardeep Kumar, Vivek Anand. acl-figlang 2020: 88-92 [doi]

Character aware models with similarity learning for metaphor detectionTarun Kumar, Yashvardhan Sharma. acl-figlang 2020: 116-125 [doi]

Evaluating a Bi-LSTM Model for Metaphor Detection in TOEFL EssaysKevin Kuo, Marine Carpuat. acl-figlang 2020: 192-196 [doi]

Augmenting Data for Sarcasm Detection with Unlabeled Conversation ContextHankyol Lee, Youngjae Yu, Gunhee Kim. acl-figlang 2020: 12-17 [doi]

Sarcasm Detection Using an Ensemble ApproachJens Lemmens, Ben Burtenshaw, Ehsan Lotfi, Ilia Markov, Walter Daelemans. acl-figlang 2020: 264-269 [doi]

A Report on the 2020 VUA and TOEFL Metaphor Detection Shared TaskChee Wee Leong, Beata Beigman Klebanov, Chris Hamill, Egon Stemle, Rutuja Ubale, Xianyang Chen. acl-figlang 2020: 18-29 [doi]

ALBERT-BiLSTM for Sequential Metaphor DetectionShuqun Li, Jingjie Zeng, Jinhui Zhang, Tao Peng, Liang Yang 0003, Hongfei Lin. acl-figlang 2020: 110-115 [doi]

Metaphor Detection Using Contextual Word Embeddings From TransformersJerry Liu, Nathan O'Hara, Alexander Rubin, Rachel Lea Draelos, Cynthia Rudin. acl-figlang 2020: 250-255 [doi]

Metaphor Detection using Context and ConcretenessRowan Hall Maudslay, Tiago Pimentel, Ryan Cotterell, Simone Teufel. acl-figlang 2020: 221-226 [doi]

Oxymorons: a preliminary corpus investigationMarta La Pietra, Francesca Masini. acl-figlang 2020: 176-185 [doi]

Neural Metaphor Detection with a Residual biLSTM-CRF ModelAndrés Torres Rivera, Antoni Oliver 0001, Salvador Climent 0001, Marta Coll-Florit. acl-figlang 2020: 197-203 [doi]

A Novel Hierarchical BERT Architecture for Sarcasm DetectionHimani Srivastava, Vaibhav Varshney, Surabhi Kumari, Saurabh Srivastava. acl-figlang 2020: 93-97 [doi]

Testing the role of metadata in metaphor identificationEgon Stemle, Alexander Onysko. acl-figlang 2020: 256-263 [doi]

Generating Ethnographic Models from Communities' Online DataTomek Strzalkowski, Anna Newheiser, Nathan Kemper, Ning Sa, Bharvee Acharya, Gregorios A. Katsios. acl-figlang 2020: 165-175 [doi]

DeepMet: A Reading Comprehension Paradigm for Token-level Metaphor DetectionChuandong Su, Fumiyo Fukumoto, Xiaoxi Huang, Jiyi Li, Rongbo Wang, Zhiqun Chen. acl-figlang 2020: 30-39 [doi]

Using Conceptual Norms for Metaphor DetectionMingyu Wan, Kathleen Ahrens, Emmanuele Chersoni, Menghan Jiang, Qi Su, Rong Xiang, Chu-Ren Huang. acl-figlang 2020: 104-109 [doi]

Can Humor Prediction Datasets be used for Humor Generation? Humorous Headline Generation via Style TransferOrion Weller, Nancy Fulda, Kevin D. Seppi. acl-figlang 2020: 186-191 [doi]

Adaptation of Word-Level Benchmark Datasets for Relation-Level Metaphor IdentificationOmnia Zayed, John Philip McCrae, Paul Buitelaar. acl-figlang 2020: 154-164 [doi]

2018

Detecting Figurative Word Occurrences Using Recurrent Neural NetworksAgnieszka Mykowiecka 0001, Aleksander Wawer, Malgorzata Marciniak. acl-figlang 2018: 124-127 [doi]

Literal, Metphorical or Both? Detecting Metaphoricity in Isolated Adjective-Noun PhrasesAgnieszka Mykowiecka 0001, Malgorzata Marciniak, Aleksander Wawer. acl-figlang 2018: 27-33 [doi]

Bigrams and BiLSTMs Two Neural Networks for Sequential Metaphor DetectionYuri Bizzoni, Mehdi Ghanimifard. acl-figlang 2018: 91-101 [doi]

Predicting Human Metaphor Paraphrase Judgments with Deep Neural NetworksYuri Bizzoni, Shalom Lappin. acl-figlang 2018: 45-55 [doi]

Catching Idiomatic Expressions in EFL EssaysMichael Flor, Beata Beigman Klebanov. acl-figlang 2018: 34-44 [doi]

Challenges in Finding Metaphorical ConnectionsKaty Ilonka Gero, Lydia B. Chilton. acl-figlang 2018: 1-6 [doi]

Proceedings of the Workshop on Figurative Language Processing, Fig-Lang@NAACL-HLT 2018, New Orleans, Louisiana, 6 June 2018Beata Beigman Klebanov, Ekaterina Shutova, Patricia Lichtenstein, Smaranda Muresan, Chee Wee Leong, editors, Association for Computational Linguistics, 2018. [doi]

A Report on the 2018 VUA Metaphor Detection Shared TaskChee Wee Leong, Beata Beigman Klebanov, Ekaterina Shutova. acl-figlang 2018: 56-66 [doi]

Conditional Random Fields for Metaphor DetectionAnna Mosolova, Ivan Bondarenko, Vadim Fomin. acl-figlang 2018: 121-123 [doi]

Unsupervised Detection of Metaphorical Adjective-Noun PairsMalay Pramanick, Pabitra Mitra. acl-figlang 2018: 76-80 [doi]

An LSTM-CRF Based Approach to Token-Level Metaphor DetectionMalay Pramanick, Ashim Gupta, Pabitra Mitra. acl-figlang 2018: 67-75 [doi]

Computationally Constructed Concepts: A Machine Learning Approach to Metaphor Interpretation Using Usage-Based Construction Grammatical CuesZachary Rosen. acl-figlang 2018: 102-109 [doi]

Linguistic Features of Sarcasm and Metaphor Production QualityStephen Cameron Skalicky, Scott A. Crossley. acl-figlang 2018: 7-16 [doi]

Multi-Module Recurrent Neural Networks with Transfer LearningFilip Skurniak, Maria Janicka, Aleksander Wawer. acl-figlang 2018: 128-132 [doi]

Using Language Learner Data for Metaphor DetectionEgon Stemle, Alexander Onysko. acl-figlang 2018: 133-138 [doi]

Leveraging Syntactic Constructions for Metaphor IdentificationKevin Stowe, Martha Palmer. acl-figlang 2018: 17-26 [doi]

Di-LSTM Contrast : A Deep Neural Network for Metaphor DetectionKrishnkant Swarnkar, Anil Kumar Singh. acl-figlang 2018: 115-120 [doi]

Neural Metaphor Detecting with CNN-LSTM ModelChuhan Wu, Fangzhao Wu, Yubo Chen 0002, Sixing Wu, Zhigang Yuan, Yongfeng Huang. acl-figlang 2018: 110-114 [doi]

Phrase-Level Metaphor Identification Using Distributed Representations of Word MeaningOmnia Zayed, John Philip McCrae, Paul Buitelaar. acl-figlang 2018: 81-90 [doi]

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