SemEval 2020

300 papers

BhamNLP at SemEval-2020 Task 12: An Ensemble of Different Word Embeddings and Emotion Transfer Learning for Arabic Offensive Language Identification in Social Media

Abdullah I. Alharbi, Mark Lee

ANDES at SemEval-2020 Task 12: A Jointly-trained BERT Multilingual Model for Offensive Language Detection

Juan Manuel Pérez, Aymé Arango, Franco Luque

AdelaideCyC at SemEval-2020 Task 12: Ensemble of Classifiers for Offensive Language Detection in Social Media

Mahen Herath, Thushari Atapattu, Hoang Anh Dung, Christoph Treude, Katrina Falkner

YNU-HPCC at SemEval-2020 Task 11: LSTM Network for Detection of Propaganda Techniques in News Articles

Jiaxu Dao, Jin Wang, Xuejie Zhang

Team DoNotDistribute at SemEval-2020 Task 11: Features, Finetuning, and Data Augmentation in Neural Models for Propaganda Detection in News Articles

Michael Kranzlein, Shabnam Behzad, Nazli Goharian

NTUAAILS at SemEval-2020 Task 11: Propaganda Detection and Classification with biLSTMs and ELMo

Anastasios Arsenos, Georgios Siolas

NoPropaganda at SemEval-2020 Task 11: A Borrowed Approach to Sequence Tagging and Text Classification

Ilya Dimov, Vladislav Korzun, Ivan Smurov

Inno at SemEval-2020 Task 11: Leveraging Pure Transfomer for Multi-Class Propaganda Detection

Dmitry Grigorev, Vladimir Ivanov

CyberWallE at SemEval-2020 Task 11: An Analysis of Feature Engineering for Ensemble Models for Propaganda Detection

Verena Blaschke, Maxim Korniyenko, Sam Tureski

Aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning

Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov

ERNIE at SemEval-2020 Task 10: Learning Word Emphasis Selection by Pre-trained Language Model

Zhengjie Huang, Shikun Feng, Weiyue Su, Xuyi Chen, Shuohuan Wang

Galileo at SemEval-2020 Task 12: Multi-lingual Learning for Offensive Language Identification Using Pre-trained Language Models

Shuohuan Wang, Jiaxiang Liu, Xuan Ouyang, Yu Sun

SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)

Marcos Zampieri, Preslav Nakov, Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov

ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether Self-Training Helps Them

Dawid Jurkiewicz, Łukasz Borchmann, Izabela Kosmala, Filip Graliński

SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles

Giovanni Da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth, Rostislav Petrov, Preslav Nakov

IDS at SemEval-2020 Task 10: Does Pre-trained Language Model Know What to Emphasize?

Jaeyoul Shin, Taeuk Kim, Sang-goo Lee

SemEval-2020 Task 10: Emphasis Selection for Written Text in Visual Media

Amirreza Shirani, Franck Dernoncourt, Nedim Lipka, Paul Asente, Jose Echevarria

Zyy1510 Team at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text with Sub-word Level Representations

Yueying Zhu, Xiaobing Zhou, Hongling Li, Kunjie Dong

Will_go at SemEval-2020 Task 9: An Accurate Approach for Sentiment Analysis on Hindi-English Tweets Based on Bert and Pesudo Label Strategy

Wei Bao, Weilong Chen, Wei Bai, Yan Zhuang, Mingyuan Cheng

WESSA at SemEval-2020 Task 9: Code-Mixed Sentiment Analysis Using Transformers

Ahmed Sultan, Mahmoud Salim, Amina Gaber, Islam El Hosary

Voice@SRIB at SemEval-2020 Tasks 9 and 12: Stacked Ensemblingmethod for Sentiment and Offensiveness detection in Social Media

Abhishek Singh, Surya Pratap Singh Parmar

UPB at SemEval-2020 Task 9: Identifying Sentiment in Code-Mixed Social Media Texts Using Transformers and Multi-Task Learning

George-Eduard Zaharia, George-Alexandru Vlad, Dumitru-Clementin Cercel, Traian Rebedea, Costin Chiru

TueMix at SemEval-2020 Task 9: Logistic Regression with Linguistic Feature Set

Elizabeth Bear, Diana Constantina Hoefels, Mihai Manolescu

Team_Swift at SemEval-2020 Task 9: Tiny Data Specialists through Domain-Specific Pre-training on Code-Mixed Data

Aditya Malte, Pratik Bhavsar, Sushant Rathi

Reed at SemEval-2020 Task 9: Fine-Tuning and Bag-of-Words Approaches to Code-Mixed Sentiment Analysis

Vinay Gopalan, Mark Hopkins

NITS-Hinglish-SentiMix at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text Using an Ensemble Model

Subhra Jyoti Baroi, Nivedita Singh, Ringki Das, Thoudam Doren Singh

MeisterMorxrc at SemEval-2020 Task 9: Fine-Tune Bert and Multitask Learning for Sentiment Analysis of Code-Mixed Tweets

Qi Wu, Peng Wang, Chenghao Huang

LT3 at SemEval-2020 Task 9: Cross-lingual Embeddings for Sentiment Analysis of Hinglish Social Media Text

Pranaydeep Singh, Els Lefever

LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis

Somnath Banerjee, Sahar Ghannay, Sophie Rosset, Anne Vilnat, Paolo Rosso

JUNLP at SemEval-2020 Task 9: Sentiment Analysis of Hindi-English Code Mixed Data Using Grid Search Cross Validation

Avishek Garain, Sainik Mahata, Dipankar Das

IUST at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text Using Deep Neural Networks and Linear Baselines

Soroush Javdan, Taha Shangipour ataei, Behrouz Minaei-Bidgoli

IRLab_DAIICT at SemEval-2020 Task 9: Machine Learning and Deep Learning Methods for Sentiment Analysis of Code-Mixed Tweets

Apurva Parikh, Abhimanyu Singh Bisht, Prasenjit Majumder

IIT Gandhinagar at SemEval-2020 Task 9: Code-Mixed Sentiment Classification Using Candidate Sentence Generation and Selection

Vivek Srivastava, Mayank Singh

HCMS at SemEval-2020 Task 9: A Neural Approach to Sentiment Analysis for Code-Mixed Texts

Aditya Srivastava, V. Harsha Vardhan

Gundapusunil at SemEval-2020 Task 9: Syntactic Semantic LSTM Architecture for SENTIment Analysis of Code-MIXed Data

Sunil Gundapu, Radhika Mamidi

FiSSA at SemEval-2020 Task 9: Fine-tuned for Feelings

Bertelt Braaksma, Richard Scholtens, Stan van Suijlekom, Remy Wang, Ahmet Üstün

Deep Learning Brasil - NLP at SemEval-2020 Task 9: Sentiment Analysis of Code-Mixed Tweets Using Ensemble of Language Models

Manoel Veríssimo dos Santos Neto, Ayrton Amaral, Nádia Silva, Anderson da Silva Soares

C1 at SemEval-2020 Task 9: SentiMix: Sentiment Analysis for Code-Mixed Social Media Text Using Feature Engineering

Laksh Advani, Clement Lu, Suraj Maharjan

BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text

Ayush Kumar, Harsh Agarwal, Keshav Bansal, Ashutosh Modi

Urszula Walińska at SemEval-2020 Task 8: Fusion of Text and Image Features Using LSTM and VGG16 for Memotion Analysis

Urszula Walińska, Jędrzej Potoniec

UPB at SemEval-2020 Task 8: Joint Textual and Visual Modeling in a Multi-Task Learning Architecture for Memotion Analysis

George-Alexandru Vlad, George-Eduard Zaharia, Dumitru-Clementin Cercel, Costin Chiru, Stefan Trausan-Matu

UoR at SemEval-2020 Task 8: Gaussian Mixture Modelling (GMM) Based Sampling Approach for Multi-modal Memotion Analysis

Zehao Liu, Emmanuel Osei-Brefo, Siyuan Chen, Huizhi Liang

UI at SemEval-2020 Task 8: Text-Image Fusion for Sentiment Classification

Andi Suciati, Indra Budi

SIS@IIITH at SemEval-2020 Task 8: An Overview of Simple Text Classification Methods for Meme Analysis

Sravani Boinepelli, Manish Shrivastava, Vasudeva Varma

NIT-Agartala-NLP-Team at SemEval-2020 Task 8: Building Multimodal Classifiers to Tackle Internet Humor

Steve Durairaj Swamy, Shubham Laddha, Basil Abdussalam, Debayan Datta, Anupam Jamatia

MemoSYS at SemEval-2020 Task 8: Multimodal Emotion Analysis in Memes

Irina Bejan

Memebusters at SemEval-2020 Task 8: Feature Fusion Model for Sentiment Analysis on Memes Using Transfer Learning

Mayukh Sharma, Ilanthenral Kandasamy, W.b. Vasantha

LT3 at SemEval-2020 Task 8: Multi-Modal Multi-Task Learning for Memotion Analysis

Pranaydeep Singh, Nina Bauwelinck, Els Lefever

KAFK at SemEval-2020 Task 8: Extracting Features from Pre-trained Neural Networks to Classify Internet Memes

Kaushik Amar Das, Arup Baruah, Ferdous Ahmed Barbhuiya, Kuntal Dey

Infotec + CentroGEO at SemEval-2020 Task 8: Deep Learning and Text Categorization approach for Memes classification

Guillermo Ruiz, Eric S. Tellez, Daniela Moctezuma, Sabino Miranda-Jiménez, Tania Ramírez-delReal

IITK at SemEval-2020 Task 8: Unimodal and Bimodal Sentiment Analysis of Internet Memes

Vishal Keswani, Sakshi Singh, Suryansh Agarwal, Ashutosh Modi

Hitachi at SemEval-2020 Task 8: Simple but Effective Modality Ensemble for Meme Emotion Recognition

Terufumi Morishita, Gaku Morio, Shota Horiguchi, Hiroaki Ozaki, Toshinori Miyoshi

Guoym at SemEval-2020 Task 8: Ensemble-based Classification of Visuo-Lingual Metaphor in Memes

Yingmei Guo, Jinfa Huang, Yanlong Dong, Mingxing Xu

Gundapusunil at SemEval-2020 Task 8: Multimodal Memotion Analysis

Sunil Gundapu, Radhika Mamidi

CSECU_KDE_MA at SemEval-2020 Task 8: A Neural Attention Model for Memotion Analysis

Abu Nowshed Chy, Umme Aymun Siddiqua, Masaki Aono

CN-HIT-MI.T at SemEval-2020 Task 8: Memotion Analysis Based on BERT

Zhen Li, Yaojie Zhang, Bing Xu, Tiejun Zhao

BERT at SemEval-2020 Task 8: Using BERT to Analyse Meme Emotions

Adithya Avvaru, Sanath Vobilisetty

BennettNLP at SemEval-2020 Task 8: Multimodal sentiment classification Using Hybrid Hierarchical Classifier

Ambuje Gupta, Harsh Kataria, Souvik Mishra, Tapas Badal, Vipul Mishra

XSYSIGMA at SemEval-2020 Task 7: Method for Predicting Headlines’ Humor Based on Auxiliary Sentences with EI-BERT

Jian Ma, Shuyi Xie, Meizhi Jin, Jiang Lianxin, Mo Yang

WUY at SemEval-2020 Task 7: Combining BERT and Naive Bayes-SVM for Humor Assessment in Edited News Headlines

Cheng Zhang, Hayato Yamana

UTFPR at SemEval-2020 Task 7: Using Co-occurrence Frequencies to Capture Unexpectedness

Gustavo Henrique Paetzold

UniTuebingenCL at SemEval-2020 Task 7: Humor Detection in News Headlines

Charlotte Ammer, Lea Grüner

SO at SemEval-2020 Task 7: DeepPavlov Logistic Regression with BERT Embeddings vs SVR at Funniness Evaluation

Anita Soloveva

Smash at SemEval-2020 Task 7: Optimizing the Hyperparameters of ERNIE 2.0 for Humor Ranking and Rating

J. A. Meaney, Steven Wilson, Walid Magdy

MLEngineer at SemEval-2020 Task 7: BERT-Flair Based Humor Detection Model (BFHumor)

Fara Shatnawi, Malak Abdullah, Mahmoud Hammad

LT3 at SemEval-2020 Task 7: Comparing Feature-Based and Transformer-Based Approaches to Detect Funny Headlines

Bram Vanroy, Sofie Labat, Olha Kaminska, Els Lefever, Véronique Hoste

LMML at SemEval-2020 Task 7: Siamese Transformers for Rating Humor in Edited News Headlines

Pramodith Ballapuram

HumorAAC at SemEval-2020 Task 7: Assessing the Funniness of Edited News Headlines through Regression and Trump Mentions

Anna-Katharina Dick, Charlotte Weirich, Alla Kutkina

Funny3 at SemEval-2020 Task 7: Humor Detection of Edited Headlines with LSTM and TFIDF Neural Network System

Xuefeng Luo, Kuan Tang

Ferryman at SemEval-2020 Task 7: Ensemble Model for Assessing Humor in Edited News Headlines

Weilong Chen, Jipeng Li, Chenghao Huang, Wei Bai, Yanru Zhang

ELMo-NB at SemEval-2020 Task 7: Assessing Sense of Humor in EditedNews Headlines Using ELMo and NB

Enas Khwaileh, Muntaha A. Al-As’ad

ECNU at SemEval-2020 Task 7: Assessing Humor in Edited News Headlines Using BiLSTM with Attention

Tiantian Zhang, Zhixuan Chen, Man Lan

Duluth at SemEval-2020 Task 7: Using Surprise as a Key to Unlock Humorous Headlines

Shuning Jin, Yue Yin, XianE Tang, Ted Pedersen

Amobee at SemEval-2020 Task 7: Regularization of Language Model Based Classifiers

Alon Rozental, Dadi Biton, Ido Blank

XLP at SemEval-2020 Task 9: Cross-lingual Models with Focal Loss for Sentiment Analysis of Code-Mixing Language

Yili Ma, Liang Zhao, Jie Hao

ULD@NUIG at SemEval-2020 Task 9: Generative Morphemes with an Attention Model for Sentiment Analysis in Code-Mixed Text

Koustava Goswami, Priya Rani, Bharathi Raja Chakravarthi, Theodorus Fransen, John P. McCrae

Palomino-Ochoa at SemEval-2020 Task 9: Robust System Based on Transformer for Code-Mixed Sentiment Classification

Daniel Palomino, José Ochoa-Luna

NLP-CIC at SemEval-2020 Task 9: Analysing Sentiment in Code-switching Language Using a Simple Deep-learning Classifier

Jason Angel, Segun Taofeek Aroyehun, Antonio Tamayo, Alexander Gelbukh

MSR India at SemEval-2020 Task 9: Multilingual Models Can Do Code-Mixing Too

Anirudh Srinivasan

IIITG-ADBU at SemEval-2020 Task 9: SVM for Sentiment Analysis of English-Hindi Code-Mixed Text

Arup Baruah, Kaushik Das, Ferdous Barbhuiya, Kuntal Dey

HPCC-YNU at SemEval-2020 Task 9: A Bilingual Vector Gating Mechanism for Sentiment Analysis of Code-Mixed Text

Jun Kong, Jin Wang, Xuejie Zhang

HinglishNLP at SemEval-2020 Task 9: Fine-tuned Language Models for Hinglish Sentiment Detection

Meghana Bhange, Nirant Kasliwal

FII-UAIC at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text Using CNN

Lavinia Aparaschivei, Andrei Palihovici, Daniela Gifu

CS-Embed at SemEval-2020 Task 9: The Effectiveness of Code-switched Word Embeddings for Sentiment Analysis

Frances Adriana Laureano De Leon, Florimond Guéniat, Harish Tayyar Madabushi

YNU-HPCC at SemEval-2020 Task 8: Using a Parallel-Channel Model for Memotion Analysis

Li Yuan, Jin Wang, Xuejie Zhang

PRHLT-UPV at SemEval-2020 Task 8: Study of Multimodal Techniques for Memes Analysis

Gretel Liz De la Peña Sarracén, Paolo Rosso, Anastasia Giachanou

NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion Analysis

Xiaoyu Guo, Jing Ma, Arkaitz Zubiaga

NLP_UIOWA at SemEval-2020 Task 8: You’re Not the Only One Cursed with Knowledge - Multi Branch Model Memotion Analysis

Ingroj Shrestha, Jonathan Rusert

IIITG-ADBU at SemEval-2020 Task 8: A Multimodal Approach to Detect Offensive, Sarcastic and Humorous Memes

Arup Baruah, Kaushik Das, Ferdous Barbhuiya, Kuntal Dey

DSC IIT-ISM at SemEval-2020 Task 8: Bi-Fusion Techniques for Deep Meme Emotion Analysis

Pradyumna Gupta, Himanshu Gupta, Aman Sinha

YNU-HPCC at SemEval-2020 Task 7: Using an Ensemble BiGRU Model to Evaluate the Humor of Edited News Titles

Joseph Tomasulo, Jin Wang, Xuejie Zhang

SSN_NLP at SemEval-2020 Task 7: Detecting Funniness Level Using Traditional Learning with Sentence Embeddings

Kayalvizhi S, Thenmozhi D., Aravindan Chandrabose

LRG at SemEval-2020 Task 7: Assessing the Ability of BERT and Derivative Models to Perform Short-Edits Based Humor Grading

Siddhant Mahurkar, Rajaswa Patil

KDEhumor at SemEval-2020 Task 7: A Neural Network Model for Detecting Funniness in Dataset Humicroedit

Rida Miraj, Masaki Aono

JokeMeter at SemEval-2020 Task 7: Convolutional Humor

Martin Docekal, Martin Fajcik, Josef Jon, Pavel Smrz

Hasyarasa at SemEval-2020 Task 7: Quantifying Humor as Departure from Expectedness

Ravi Theja Desetty, Ranit Chatterjee, Smita Ghaisas

Buhscitu at SemEval-2020 Task 7: Assessing Humour in Edited News Headlines Using Hand-Crafted Features and Online Knowledge Bases

Kristian Nørgaard Jensen, Nicolaj Filrup Rasmussen, Thai Wang, Marco Placenti, Barbara Plank

Kk2018 at SemEval-2020 Task 9: Adversarial Training for Code-Mixing Sentiment Classification

Jiaxiang Liu, Xuyi Chen, Shikun Feng, Shuohuan Wang, Xuan Ouyang

SESAM at SemEval-2020 Task 8: Investigating the Relationship between Image and Text in Sentiment Analysis of Memes

Lisa Bonheme, Marek Grzes

Hitachi at SemEval-2020 Task 7: Stacking at Scale with Heterogeneous Language Models for Humor Recognition

Terufumi Morishita, Gaku Morio, Hiroaki Ozaki, Toshinori Miyoshi