W7: Figurative Language Processing (FLP)

Beata Beigman Klebanov, Ekaterina Shutova, Patricia Lichtenstein, Smaranda Muresan, Anna Feldman, Chee Wee (Ben) Leong, Debanjan Ghosh

Description Schedule External Website
Live Session 1: Jul 9 (13:00-20:30 GMT)
Live Session 2 (Invited talk by Marilyn Walker): Jul 9 (21:00-22:00 GMT)
The 2nd Workshop on Figurative Language Processing aims to discuss computational approaches to figurative language (e.g., metaphors, puns, sarcasm). Shared tasks: one on metaphor and one on sarcasm detection.

Time (PDT) Event Speakers
9 Jul, 6:00 AM-6:05 AM Opening Remarks Beata Beigman Klebanov, Ekatarina Shutova
9 Jul, 6:05 AM-6:17 AM A Report on the 2020 Sarcasm Detection Shared Task Debanjan Ghosh, Avijit Vajpayee and Smaranda Muresan
9 Jul, 6:17 AM-6:20 AM Q&A
9 Jul, 6:20 AM-6:32 AM Augmenting Data for Sarcasm Detection with Unlabeled Conversation Context Hankyol Lee, Youngjae Yu and Gunhee Kim
9 Jul, 6:32 AM-6:35 AM Q&A
9 Jul, 6:35 AM-6:47 AM A Report on the 2020 VUA and TOEFL Metaphor Detection Shared Task Chee Wee (Ben) Leong, Beata Beigman Klebanov, Chris Hamill, Egon Stemle, Rutuja Ubale and Xianyang Chen
9 Jul, 6:47 AM-6:50 AM Q&A
9 Jul, 6:50 AM-7:02 AM DeepMet: A Reading Comprehension Paradigm for Token-level Metaphor Detection Chuandong Su, Fumiyo Fukumoto, Xiaoxi Huang, Jiyi Li, Rongbo Wang and Zhiqun Chen
9 Jul, 7:02 AM-7:05 AM Q&A
9 Jul, 7:05 AM-7:17 AM Context-Driven Satirical News Generation Zachary Horvitz, Nam Do and Michael L. Littman
9 Jul, 7:17 AM-7:20 AM Q&A
9 Jul, 7:20 AM-7:40 AM Coffee Break
9 Jul, 7:40 AM-7:45 AM Sarcasm Detection using Context Separators in Online Discourse TANVI DADU and Kartikey Pant
9 Jul, 7:45 AM-7:50 AM Sarcasm Detection in Tweets with BERT and GloVe Embeddings Akshay Khatri and Pranav P
9 Jul, 7:50 AM-7:55 AM C-Net: Contextual Network for Sarcasm Detection Amit Kumar Jena, Aman Sinha and Rohit Agarwal
9 Jul, 7:55 AM-8:00 AM Q&A
9 Jul, 8:00 AM-8:05 AM Applying Transformers and Aspect-based Sentiment Analysis approaches on Sarcasm Detection Taha Shangipour ataei, Soroush Javdan and Behrouz Minaei-Bidgoli
9 Jul, 8:05 AM-8:10 AM Sarcasm Identification and Detection in Conversion Context using BERT kalaivani A and Thenmozhi D
9 Jul, 8:10 AM-8:15 AM Neural Sarcasm Detection using Conversation Context Nikhil Jaiswal
9 Jul, 8:15 AM-8:20 AM Q&A
9 Jul, 8:20 AM-8:40 AM Coffee Break
9 Jul, 8:40 AM-8:45 AM Context-Aware Sarcasm Detection Using BERT Arup Baruah, Kaushik Das, Ferdous Barbhuiya and Kuntal Dey
9 Jul, 8:45 AM-8:50 AM Transformers on Sarcasm Detection with Context Amardeep Kumar and Vivek Anand
9 Jul, 8:50 AM-8:55 AM A Novel Hierarchical BERT Architecture for Sarcasm Detection Himani Srivastava, Vaibhav Varshney, Surabhi Kumari and Saurabh Srivastava
9 Jul, 8:55 AM-9:00 AM Q&A
9 Jul, 9:00 AM-9:05 AM {D}etecting {S}arcasm in {C}onversation {C}ontext {U}sing {T}ransformer-{B}ased {M}odels Adithya Avvaru, Sanath Vobilisetty and Radhika Mamidi
9 Jul, 9:05 AM-9:10 AM Using Conceptual Norms for Metaphor Detection Mingyu WAN, Kathleen Ahrens, Emmanuele Chersoni, Menghan Jiang, Qi Su, Rong Xiang and Chu-Ren Huang
9 Jul, 9:10 AM-9:15 AM ALBERT-BiLSTM for Sequential Metaphor Detection Shuqun Li, Jingjie Zeng, Jinhui Zhang, Tao Peng, Liang Yang and Hongfei Lin
9 Jul, 9:15 AM-9:20 AM Character aware models with similarity learning for metaphor detection Tarun Kumar and Yashvardhan Sharma
9 Jul, 9:20 AM-9:30 AM Q&A
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9 Jul, 10:00 AM-10:12 AM Sky + Fire = Sunset. Exploring Parallels between Visually Grounded Metaphors and Image Classifiers Yuri Bizzoni and Simon Dobnik
9 Jul, 10:12 AM-10:15 AM Q&A
9 Jul, 10:15 AM-10:27 AM Recognizing Euphemisms and Dysphemisms Using Sentiment Analysis Christian Felt and Ellen Riloff
9 Jul, 10:27 AM-10:30 AM Q&A
9 Jul, 10:30 AM-10:35 AM IlliniMet: Illinois System for Metaphor Detection with Contextual and Linguistic Information Hongyu Gong, Kshitij Gupta, Akriti Jain and Suma Bhat
9 Jul, 10:35 AM-10:40 AM Adaptation of Word-Level Benchmark Datasets for Relation-Level Metaphor Identification Omnia Zayed, John Philip McCrae and Paul Buitelaar
9 Jul, 10:40 AM-10:45 AM Generating Ethnographic Models from Communities’ Online Data Tomek Strzalkowski, Anna Newheiser, Nathan Kemper, Ning Sa, Bharvee Acharya and Gregorios Katsios
9 Jul, 10:45 AM-10:50 AM Q&A
9 Jul, 10:50 AM-10:55 AM Oxymorons: a preliminary corpus investigation Marta La Pietra and Francesca Masini
9 Jul, 10:55 AM-11:00 AM Can Humor Prediction Datasets be used for Humor Generation? Humorous Headline Generation via Style Transfer Orion Weller, Nancy Fulda and Kevin Seppi
9 Jul, 11:00 AM-11:05 AM Evaluating a Bi-LSTM Model for Metaphor Detection in TOEFL Essays Kevin Kuo and Marine Carpuat
9 Jul, 11:05 AM-11:10 AM Q&A
9 Jul, 11:10 AM-11:30 AM Coffee Break
9 Jul, 11:30 AM-11:35 AM Neural Metaphor Detection with a Residual biLSTM-CRF Model Andrés Torres Rivera, Antoni Oliver, Salvador Climent and Marta Coll-Florit
9 Jul, 11:35 AM-11:40 AM Augmenting Neural Metaphor Detection with Concreteness Ghadi Alnafesah, Harish Tayyar Madabushi and Mark Lee
9 Jul, 11:40 AM-11:45 AM Supervised Disambiguation of German Verbal Idioms with a BiLSTM Architecture Rafael Ehren, Timm Lichte, Laura Kallmeyer and Jakub Waszczuk
9 Jul, 11:45 AM-11:50 AM Q&A
9 Jul, 11:50 AM-11:55 AM Metaphor Detection using Context and Concreteness Rowan Hall Maudslay, Tiago Pimentel, Ryan Cotterell and Simone Teufel
9 Jul, 11:55 PM-12:00 PM Being neighbourly: Neural metaphor identification in discourse Verna Dankers, Karan Malhotra, Gaurav Kudva, Volodymyr Medentsiy and Ekaterina Shutova
9 Jul, 12:00 PM-12:05 PM Go Figure! Multi-task transformer-based architecture for metaphor detection using idioms: ETS team in 2020 metaphor shared task Xianyang Chen, Chee Wee (Ben) Leong, Michael Flor and Beata Beigman Klebanov
9 Jul, 12:05 PM-12:10 PM Q&A
9 Jul, 12:10 PM-12:15 PM Metaphor Detection using Ensembles of Bidirectional Recurrent Neural Networks Jennifer Brooks and Abdou Youssef
9 Jul, 12:15 PM-12:20 PM Metaphor Detection Using Contextual Word Embeddings From Transformers Jerry Liu, Nathan O'Hara, Alexander Rubin, Rachel Draelos and Cynthia Rudin
9 Jul, 12:20 PM-12:25 PM Testing the role of metadata in metaphor identification Egon Stemle and Alexander Onysko
9 Jul, 12:25 PM-12:30 PM Q&A
9 Jul, 12:30 PM-12:50 PM Coffee Break
9 Jul, 12:50 PM-12:55 PM Sarcasm Detection Using an Ensemble Approach Jens Lemmens, Ben Burtenshaw, Ehsan Lotfi, Ilia Markov and Walter Daelemans
9 Jul, 12:55 PM-1:00 PM A Transformer Approach to Contextual Sarcasm Detection in Twitter Hunter Gregory, Steven Li, Pouya Mohammadi, Natalie Tarn, Rachel Draelos and Cynthia Rudin
9 Jul, 1:00 PM-1:05 PM Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social Media Xiangjue Dong, Changmao Li and Jinho D. Choi
9 Jul, 1:05 PM-1:10 PM Q&A
9 Jul, 1:10 PM-1:30 PM Closing Discussion
9 Jul, 2:00 PM-3:00 PM Invited talk: Generating Expressive Language by Mining User Reviews Marilyn Walker
You can open the livestream video and in a separate window.

Pre-recorded Talks


Sarcasm Detection Using an Ensemble Approach

Jens Lemmens, Ben Burtenshaw, Ehsan Lotfi, Ilia Markov and Walter Daelemans


Sarcasm Detection using Context Separators in Online Discourse

TANVI DADU and Kartikey Pant


Augmenting Data for Sarcasm Detection with Unlabeled Conversation Context

Hankyol Lee, Youngjae Yu and Gunhee Kim


Sarcasm Detection in Tweets with BERT and GloVe Embeddings

Akshay Khatri and Pranav P


C-Net: Contextual Network for Sarcasm Detection

Amit Kumar Jena, Aman Sinha and Rohit Agarwal


Applying Transformers and Aspect-based Sentiment Analysis approaches on Sarcasm Detection

Taha Shangipour ataei, Soroush Javdan and Behrouz Minaei-Bidgoli


Sarcasm Identification and Detection in Conversion Context using BERT

kalaivani A and Thenmozhi D


Neural Sarcasm Detection using Conversation Context

Nikhil Jaiswal


Context-Aware Sarcasm Detection Using BERT

Arup Baruah, Kaushik Das, Ferdous Barbhuiya and Kuntal Dey


Transformers on Sarcasm Detection with Context

Amardeep Kumar and Vivek Anand


A Novel Hierarchical BERT Architecture for Sarcasm Detection

Himani Srivastava, Vaibhav Varshney, Surabhi Kumari and Saurabh Srivastava


{D}etecting {S}arcasm in {C}onversation {C}ontext {U}sing {T}ransformer-{B}ased {M}odels

Adithya Avvaru, Sanath Vobilisetty and Radhika Mamidi


A Transformer Approach to Contextual Sarcasm Detection in Twitter

Hunter Gregory, Steven Li, Pouya Mohammadi, Natalie Tarn, Rachel Draelos and Cynthia Rudin


Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social Media

Xiangjue Dong, Changmao Li and Jinho D. Choi


A Report on the 2020 Sarcasm Detection Shared Task

Debanjan Ghosh, Avijit Vajpayee and Smaranda Muresan


Adaptation of Word-Level Benchmark Datasets for Relation-Level Metaphor Identification

Omnia Zayed, John Philip McCrae and Paul Buitelaar


Context-Driven Satirical News Generation

Zachary Horvitz, Nam Do and Michael L. Littman


Generating Ethnographic Models from Communities’ Online Data

Tomek Strzalkowski, Anna Newheiser, Nathan Kemper, Ning Sa, Bharvee Acharya and Gregorios Katsios


Oxymorons: a preliminary corpus investigation

Marta La Pietra and Francesca Masini


Can Humor Prediction Datasets be used for Humor Generation? Humorous Headline Generation via Style Transfer

Orion Weller, Nancy Fulda and Kevin Seppi


Sky + Fire = Sunset. Exploring Parallels between Visually Grounded Metaphors and Image Classifiers

Yuri Bizzoni and Simon Dobnik


Supervised Disambiguation of German Verbal Idioms with a BiLSTM Architecture

Rafael Ehren, Timm Lichte, Laura Kallmeyer and Jakub Waszczuk


Being neighbourly: Neural metaphor identification in discourse

Verna Dankers, Karan Malhotra, Gaurav Kudva, Volodymyr Medentsiy and Ekaterina Shutova


Recognizing Euphemisms and Dysphemisms Using Sentiment Analysis

Christian Felt and Ellen Riloff


ALBERT-BiLSTM for Sequential Metaphor Detection

Shuqun Li, Jingjie Zeng, Jinhui Zhang, Tao Peng, Liang Yang and Hongfei Lin


IlliniMet: Illinois System for Metaphor Detection with Contextual and Linguistic Information

Hongyu Gong, Kshitij Gupta, Akriti Jain and Suma Bhat


DeepMet: A Reading Comprehension Paradigm for Token-level Metaphor Detection

Chuandong Su, Fumiyo Fukumoto, Xiaoxi Huang, Jiyi Li, Rongbo Wang and Zhiqun Chen


Evaluating a Bi-LSTM Model for Metaphor Detection in TOEFL Essays

Kevin Kuo and Marine Carpuat


Neural Metaphor Detection with a Residual biLSTM-CRF Model

Andrés Torres Rivera, Antoni Oliver, Salvador Climent and Marta Coll-Florit


Using Conceptual Norms for Metaphor Detection

Mingyu WAN, Kathleen Ahrens, Emmanuele Chersoni, Menghan Jiang, Qi Su, Rong Xiang and Chu-Ren Huang


Character aware models with similarity learning for metaphor detection

Tarun Kumar and Yashvardhan Sharma


Augmenting Neural Metaphor Detection with Concreteness

Ghadi Alnafesah, Harish Tayyar Madabushi and Mark Lee


Metaphor Detection using Context and Concreteness

Rowan Hall Maudslay, Tiago Pimentel, Ryan Cotterell and Simone Teufel


Go Figure! Multi-task transformer-based architecture for metaphor detection using idioms: ETS team in 2020 metaphor shared task

Xianyang Chen, Chee Wee (Ben) Leong, Michael Flor and Beata Beigman Klebanov


Metaphor Detection using Ensembles of Bidirectional Recurrent Neural Networks

Jennifer Brooks and Abdou Youssef


Metaphor Detection Using Contextual Word Embeddings From Transformers

Jerry Liu, Nathan O'Hara, Alexander Rubin, Rachel Draelos and Cynthia Rudin


Testing the role of metadata in metaphor identification

Egon Stemle and Alexander Onysko


A Report on the 2020 VUA and TOEFL Metaphor Detection Shared Task

Chee Wee (Ben) Leong, Beata Beigman Klebanov, Chris Hamill, Egon Stemle, Rutuja Ubale and Xianyang Chen