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ORCID14th SemEval@COLING 2020: Barcelona (online)
- Aurélie Herbelot, Xiaodan Zhu, Alexis Palmer, Nathan Schneider, Jonathan May, Ekaterina Shutova:
Proceedings of the Fourteenth Workshop on Semantic Evaluation, SemEval@COLING 2020, Barcelona (online), December 12-13, 2020. International Committee for Computational Linguistics 2020, ISBN 978-1-952148-31-6 - Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen
, Haim Dubossarsky, Nina Tahmasebi:
SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection. 1-23 - Goran Glavas, Ivan Vulic, Anna Korhonen, Simone Paolo Ponzetto:
SemEval-2020 Task 2: Predicting Multilingual and Cross-Lingual (Graded) Lexical Entailment. 24-35 - Carlos Santos Armendariz, Matthew Purver, Senja Pollak, Nikola Ljubesic, Matej Ulcar, Ivan Vulic, Mohammad Taher Pilehvar:
SemEval-2020 Task 3: Graded Word Similarity in Context. 36-49 - Christin Beck:
DiaSense at SemEval-2020 Task 1: Modeling Sense Change via Pre-trained BERT Embeddings. 50-58 - Lucas Rafael Costella Pessutto, Tiago de Melo, Viviane P. Moreira, Altigran S. da Silva:
BabelEnconding at SemEval-2020 Task 3: Contextual Similarity as a Combination of Multilingualism and Language Models. 59-66 - Matej Martinc, Syrielle Montariol, Elaine Zosa, Lidia Pivovarova:
Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings Not Always Better than Static for Semantic Change Detection. 67-73 - Pierluigi Cassotti, Annalina Caputo, Marco Polignano, Pierpaolo Basile:
GM-CTSC at SemEval-2020 Task 1: Gaussian Mixtures Cross Temporal Similarity Clustering. 74-80 - Jens Kaiser, Dominik Schlechtweg, Sean Papay, Sabine Schulte im Walde:
IMS at SemEval-2020 Task 1: How Low Can You Go? Dimensionality in Lexical Semantic Change Detection. 81-89 - Efrat Amar, Chaya Liebeskind:
JCT at SemEval-2020 Task 1: Combined Semantic Vector Spaces Models for Unsupervised Lexical Semantic Change Detection. 90-97 - Ran Iwamoto, Masahiro Yukawa:
RIJP at SemEval-2020 Task 1: Gaussian-based Embeddings for Semantic Change Detection. 98-104 - Maurício Gruppi, Sibel Adali, Pin-Yu Chen:
SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic Change. 105-111 - Amaru Cuba Gyllensten, Evangelia Gogoulou, Ariel Ekgren, Magnus Sahlgren:
SenseCluster at SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection. 112-118 - Paul Nulty, David Lillis:
The UCD-Net System at SemEval-2020 Task 1: Temporal Referencing with Semantic Network Distances. 119-125 - Andrey Kutuzov, Mario Giulianelli:
UiO-UvA at SemEval-2020 Task 1: Contextualised Embeddings for Lexical Semantic Change Detection. 126-134 - Ádám Kovács, Kinga Gémes, András Kornai, Gábor Recski:
BMEAUT at SemEval-2020 Task 2: Lexical Entailment with Semantic Graphs. 135-141 - Hansi Hettiarachchi, Tharindu Ranasinghe:
BRUMS at SemEval-2020 Task 3: Contextualised Embeddings for Predicting the (Graded) Effect of Context in Word Similarity. 142-149 - Helena Gómez-Adorno, Gemma Bel-Enguix, Jorge Reyes-Magaña, Benjamín Moreno, Ramón Casillas, Daniel Vargas:
MineriaUNAM at SemEval-2020 Task 3: Predicting Contextual WordSimilarity Using a Centroid Based Approach and Word Embeddings. 150-157 - Aina Garí Soler, Marianna Apidianaki:
MULTISEM at SemEval-2020 Task 3: Fine-tuning BERT for Lexical Meaning. 158-165 - Li Tang:
UZH at SemEval-2020 Task 3: Combining BERT with WordNet Sense Embeddings to Predict Graded Word Similarity Changes. 166-170 - Nikolay Arefyev, Vasily Zhikov:
BOS at SemEval-2020 Task 1: Word Sense Induction via Lexical Substitution for Lexical Semantic Change Detection. 171-179 - Martin Pömsl, Roman Lyapin:
CIRCE at SemEval-2020 Task 1: Ensembling Context-Free and Context-Dependent Word Representations. 180-186 - David Rother, Thomas N. Haider, Steffen Eger:
CMCE at SemEval-2020 Task 1: Clustering on Manifolds of Contextualized Embeddings to Detect Historical Meaning Shifts. 187-193 - Frank D. Zamora-Reina, Felipe Bravo-Marquez:
DCC-Uchile at SemEval-2020 Task 1: Temporal Referencing Word Embeddings. 194-200 - Ehsaneddin Asgari, Christoph Ringlstetter, Hinrich Schütze:
EmbLexChange at SemEval-2020 Task 1: Unsupervised Embedding-based Detection of Lexical Semantic Changes. 201-207 - Vaibhav Jain:
GloVeInit at SemEval-2020 Task 1: Using GloVe Vector Initialization for Unsupervised Lexical Semantic Change Detection. 208-213 - Vani Kanjirangat, Sandra Mitrovic, Alessandro Antonucci, Fabio Rinaldi:
SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces. 214-221 - Jinan Zhou, Jiaxin Li:
TemporalTeller at SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection with Temporal Referencing. 222-231 - Anna Karnysheva, Pia Schwarz:
TUE at SemEval-2020 Task 1: Detecting Semantic Change by Clustering Contextual Word Embeddings. 232-238 - Eleri Sarsfield, Harish Tayyar Madabushi:
UoB at SemEval-2020 Task 1: Automatic Identification of Novel Word Senses. 239-245 - Ondrej Prazák, Pavel Pribán, Stephen Taylor, Jakub Sido:
UWB at SemEval-2020 Task 1: Lexical Semantic Change Detection. 246-254 - Shike Wang, Yuchen Fan, Xiangying Luo, Dong Yu:
SHIKEBLCU at SemEval-2020 Task 2: An External Knowledge-enhanced Matrix for Multilingual and Cross-Lingual Lexical Entailment. 255-262 - Bradley Hauer, Amir Ahmad Habibi, Yixing Luan, Arnob Mallik, Grzegorz Kondrak:
UAlberta at SemEval-2020 Task 2: Using Translations to Predict Cross-Lingual Entailment. 263-269 - Mahmoud S. Abdel-Majeed, Marwan Torki:
AlexU-AUX-BERT at SemEval-2020 Task 3: Improving BERT Contextual Similarity Using Multiple Auxiliary Contexts. 270-274 - Pablo Gamallo:
CitiusNLP at SemEval-2020 Task 3: Comparing Two Approaches for Word Vector Contextualization. 275-280 - Weilong Chen, Xin Yuan, Sai Zhang, Jiehui Wu, Yanru Zhang, Yan Wang:
Ferryman at SemEval-2020 Task 3: Bert with TFIDF-Weighting for Predicting the Effect of Context in Word Similarity. 281-285 - Terufumi Morishita, Gaku Morio, Hiroaki Ozaki, Toshinori Miyoshi:
Hitachi at SemEval-2020 Task 3: Exploring the Representation Spaces of Transformers for Human Sense Word Similarity. 286-291 - Nour Al-Khdour, Mutaz Bni Younes, Malak Abdullah, Mohammad Al-Smadi:
JUSTMasters at SemEval-2020 Task 3: Multilingual Deep Learning Model to Predict the Effect of Context in Word Similarity. 292-300 - Wei Bao, Hongshu Che, Jiandong Zhang:
Will_Go at SemEval-2020 Task 3: An Accurate Model for Predicting the (Graded) Effect of Context in Word Similarity Based on BERT. 301-306 - Cunxiang Wang, Shuailong Liang, Yili Jin, Yilong Wang, Xiaodan Zhu, Yue Zhang:
SemEval-2020 Task 4: Commonsense Validation and Explanation. 307-321 - Xiaoyu Yang, Stephen Obadinma, Huasha Zhao, Qiong Zhang, Stan Matwin, Xiaodan Zhu:
SemEval-2020 Task 5: Counterfactual Recognition. 322-335 - Sasha Spala, Nicholas A. Miller, Franck Dernoncourt, Carl Dockhorn:
SemEval-2020 Task 6: Definition Extraction from Free Text with the DEFT Corpus. 336-345 - Luxi Xing, Yuqiang Xie, Yue Hu, Wei Peng:
IIE-NLP-NUT at SemEval-2020 Task 4: Guiding PLM with Prompt Template Reconstruction Strategy for ComVE. 346-353 - Xiao Ding, Dingkui Hao, Yuewei Zhang, Kuo Liao, Zhongyang Li, Bing Qin, Ting Liu:
HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection. 354-360 - Shelan S. Jeawak, Luis Espinosa Anke, Steven Schockaert:
Cardiff University at SemEval-2020 Task 6: Fine-tuning BERT for Domain-Specific Definition Classification. 361-366 - Anandh Konar, Chenyang Huang, Amine Trabelsi, Osmar R. Zaïane:
ANA at SemEval-2020 Task 4: MUlti-task learNIng for cOmmonsense reasoNing (UNION). 367-373 - Josef Jon, Martin Fajcik, Martin Docekal, Pavel Smrz:
BUT-FIT at SemEval-2020 Task 4: Multilingual Commonsense. 374-390 - Hongru Wang, Xiangru Tang, Sunny Lai, Kwong-Sak Leung, Jia Zhu, Gabriel Pui Cheong Fung, Kam-Fai Wong:
CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning. 391-400 - Qian Zhao, Siyu Tao, Jie Zhou, Linlin Wang, Xin Lin, Liang He:
ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation. 401-410 - Daming Lu:
Masked Reasoner at SemEval-2020 Task 4: Fine-Tuning RoBERTa for Commonsense Reasoning. 411-414 - Liu Pai:
QiaoNing at SemEval-2020 Task 4: Commonsense Validation and Explanation System Based on Ensemble of Language Model. 415-421 - Wiem Ben Rim, Naoaki Okazaki:
SWAGex at SemEval-2020 Task 4: Commonsense Explanation as Next Event Prediction. 422-429 - Thanet Markchom, Bhuvana Dhruva, Chandresh Pravin, Huizhi Liang:
UoR at SemEval-2020 Task 4: Pre-trained Sentence Transformer Models for Commonsense Validation and Explanation. 430-436 - Martin Fajcik, Josef Jon, Martin Docekal, Pavel Smrz:
BUT-FIT at SemEval-2020 Task 5: Automatic Detection of Counterfactual Statements with Deep Pre-trained Language Representation Models. 437-444 - MinGyou Sung, Parsa Bagherzadeh, Sabine Bergler:
CLaC at SemEval-2020 Task 5: Muli-task Stacked Bi-LSTMs. 445-450 - Rajaswa Patil, Veeky Baths:
CNRL at SemEval-2020 Task 5: Modelling Causal Reasoning in Language with Multi-Head Self-Attention Weights Based Counterfactual Detection. 451-457 - Anirudh Anil Ojha, Rohin Garg, Shashank Gupta, Ashutosh Modi:
IITK-RSA at SemEval-2020 Task 5: Detecting Counterfactuals. 458-467 - Hanna Abi Akl, Dominique Mariko, Estelle Labidurie:
Yseop at SemEval-2020 Task 5: Cascaded BERT Language Model for Counterfactual Statement Analysis. 468-478 - Fabien Caspani, Pirashanth Ratnamogan, Mathis Linger, Mhamed Hajaiej:
ACNLP at SemEval-2020 Task 6: A Supervised Approach for Definition Extraction. 479-486 - Adis Davletov, Nikolay Arefyev, Alexander Shatilov, Denis Gordeev, Alexey Rey:
Gorynych Transformer at SemEval-2020 Task 6: Multi-task Learning for Definition Extraction. 487-493 - Yice Zhang, Jiaxuan Lin, Yang Fan, Peng Jin, Yuanchao Liu, Bingquan Liu:
CN-HIT-IT.NLP at SemEval-2020 Task 4: Enhanced Language Representation with Multiple Knowledge Triples. 494-500 - Soumya Ranjan Dash, Sandeep Routray, Prateek Varshney, Ashutosh Modi:
CS-NET at SemEval-2020 Task 4: Siamese BERT for ComVE. 501-506 - Sirwe Saeedi, Aliakbar Panahi, Seyran Saeedi, Alvis Cheuk Ming Fong:
CS-NLP Team at SemEval-2020 Task 4: Evaluation of State-of-the-art NLP Deep Learning Architectures on Commonsense Reasoning Task. 507-515 - Yang Bai, Xiaobing Zhou:
DEEPYANG at SemEval-2020 Task 4: Using the Hidden Layer State of BERT Model for Differentiating Common Sense. 516-520 - Heba Al-Jarrah, Rahaf Al-hamouri, Mohammad Al-Smadi:
HR@JUST Team at SemEval-2020 Task 4: The Impact of RoBERTa Transformer for Evaluation Common Sense Understanding. 521-526 - Seung-Hoon Na, Jong-Hyeok Lee:
JBNU at SemEval-2020 Task 4: BERT and UniLM for Commonsense Validation and Explanation. 527-534 - Ali Fadel, Mahmoud Al-Ayyoub, Erik Cambria:
JUSTers at SemEval-2020 Task 4: Evaluating Transformer Models against Commonsense Validation and Explanation. 535-542 - Jiajing Wan, Xinting Huang:
KaLM at SemEval-2020 Task 4: Knowledge-aware Language Models for Comprehension and Generation. 543-550 - Khanddorj Mendbayar, Masaki Aono:
KDE SenseForce at SemEval-2020 Task 4: Exploiting BERT for Commonsense Validation and Explanation. 551-555 - Junyi Li, Bin Wang, Haiyan Ding:
Lijunyi at SemEval-2020 Task 4: An ALBERT Model Based Maximum Ensemble with Different Training Sizes and Depths for Commonsense Validation and Explanation. 556-561 - Shilei Liu, Yu Guo, Bochao Li, Feiliang Ren:
LMVE at SemEval-2020 Task 4: Commonsense Validation and Explanation Using Pretraining Language Model. 562-568 - Kris Collins, Max Grathwohl, Heba Ahmed:
Mxgra at SemEval-2020 Task 4: Common Sense Making with Next Token Prediction. 569-573 - Emran Al-Bashabsheh, Ayah Abu Aqouleh, Mohammad Al-Smadi:
NLP@JUST at SemEval-2020 Task 4: Ensemble Technique for BERT and Roberta to Evaluate Commonsense Validation. 574-579 - Rishivardhan K, Kayalvizhi S, Thenmozhi D, Raghav R., Kshitij Sharma:
SSN-NLP at SemEval-2020 Task 4: Text Classification and Generation on Common Sense Context Using Neural Networks. 580-584 - Vertika Srivastava, Sudeep Kumar Sahoo, Yeon Hyang Kim, Rohit R. R, Mayank Raj, Ajay Jaiswal:
Team Solomon at SemEval-2020 Task 4: Be Reasonable: Exploiting Large-scale Language Models for Commonsense Reasoning. 585-593 - Roweida Mohammed, Malak Abdullah:
TeamJUST at SemEval-2020 Task 4: Commonsense Validation and Explanation Using Ensembling Techniques. 594-600 - Don Teo:
TR at SemEval-2020 Task 4: Exploring the Limits of Language-model-based Common Sense Validation. 601-608 - Ciprian-Gabriel Cusmuliuc, Lucia Georgiana Coca, Adrian Iftene:
UAICS at SemEval-2020 Task 4: Using a Bidirectional Transformer for Task a. 609-613 - Kerenza Doxolodeo, Rahmad Mahendra:
UI at SemEval-2020 Task 4: Commonsense Validation and Explanation by Exploiting Contradiction. 614-619 - Yuhang Wu, Hao Wu:
Warren at SemEval-2020 Task 4: ALBERT and Multi-Task Learning for Commonsense Validation. 620-625 - Xiaozhi Ou, Hongling Li:
YNU-oxz at SemEval-2020 Task 4: Commonsense Validation Using BERT with Bidirectional GRU. 626-632 - Chang Liu, Dong Yu:
BLCU-NLP at SemEval-2020 Task 5: Data Augmentation for Efficient Counterfactual Detecting. 633-639 - Yang Bai, Xiaobing Zhou:
BYteam at SemEval-2020 Task 5: Detecting Counterfactual Statements with BERT and Ensembles. 640-644 - Len Yabloko:
ETHAN at SemEval-2020 Task 5: Modelling Causal Reasoning in Language Using Neuro-symbolic Cloud Computing. 645-652 - Weilong Chen, Yan Zhuang, Peng Wang, Feng Hong, Yan Wang, Yanru Zhang:
Ferryman as SemEval-2020 Task 5: Optimized BERT for Detecting Counterfactuals. 653-657 - Yaojie Lu, Annan Li, Hongyu Lin, Xianpei Han, Le Sun:
ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling. 658-663 - Junyi Li, Yuhang Wu, Bin Wang, Haiyan Ding:
Lee at SemEval-2020 Task 5: ALBERT Model Based on the Maximum Ensemble Strategy and Different Data Sampling Methods for Detecting Counterfactual Statements. 664-669 - Elvis Mboning Tchiaze, Damien Nouvel:
NLU-Co at SemEval-2020 Task 5: NLU/SVM Based Model Apply Tocharacterise and Extract Counterfactual Items on Raw Data. 670-676 - Pouria Babvey, Dario Borrelli, Yutong Zhao, Carlo Lipizzi:
Pheonix at SemEval-2020 Task 5: Masking the Labels Lubricates Models for Sequence Labeling. 677-682 - Xiaozhi Ou, Shengyan Liu, Hongling Li:
YNU-oxz at SemEval-2020 Task 5: Detecting Counterfactuals Based on Ordered Neurons LSTM and Hierarchical Attention Network. 683-689 - Huihui Zhang, Feiliang Ren:
BERTatDE at SemEval-2020 Task 6: Extracting Term-definition Pairs in Free Text Using Pre-trained Model. 690-696 - Jekaterina Kaparina, Anna Soboleva:
DeftPunk at SemEval-2020 Task 6: Using RNN-ensemble for the Sentence Classification. 697-703 - Marc Hübner, Christoph Alt, Robert Schwarzenberg, Leonhard Hennig:
Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction. 704-709 - Aadarsh Singh, Priyanshu Kumar, Aman Sinha:
DSC IIT-ISM at SemEval-2020 Task 6: Boosting BERT with Dependencies for Definition Extraction. 710-716 - Tharindu Ranasinghe, Alistair Plum, Constantin Orasan, Ruslan Mitkov:
RGCL at SemEval-2020 Task 6: Neural Approaches to DefinitionExtraction. 717-723 - Madeeswaran Kannan, Haemanth Santhi Ponnusamy:
TüKaPo at SemEval-2020 Task 6: Def(n)tly Not BERT: Definition Extraction Using pre-BERT Methods in a post-BERT World. 724-729 - Shu-Yi Xie, Jian Ma, Haiqin Yang, Lian-Xin Jiang, Yang Mo, Jian-Ping Shen:
UNIXLONG at SemEval-2020 Task 6: A Joint Model for Definition Extraction. 730-736 - Andrei-Marius Avram, Dumitru-Clementin Cercel, Costin-Gabriel Chiru:
UPB at SemEval-2020 Task 6: Pretrained Language Models for Definition Extraction. 737-745 - Nabil Hossain, John Krumm, Michael Gamon, Henry A. Kautz:
SemEval-2020 Task 7: Assessing Humor in Edited News Headlines. 746-758 - Chhavi Sharma, Deepesh Bhageria, William Scott, Srinivas PYKL, Amitava Das, Tanmoy Chakraborty, Viswanath Pulabaigari, Björn Gambäck:
SemEval-2020 Task 8: Memotion Analysis- the Visuo-Lingual Metaphor! 759-773 - Parth Patwa, Gustavo Aguilar, Sudipta Kar, Suraj Pandey, Srinivas PYKL, Björn Gambäck, Tanmoy Chakraborty, Thamar Solorio, Amitava Das:
SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets. 774-790 - Terufumi Morishita, Gaku Morio, Hiroaki Ozaki, Toshinori Miyoshi:
Hitachi at SemEval-2020 Task 7: Stacking at Scale with Heterogeneous Language Models for Humor Recognition. 791-803 - Lisa Bonheme, Marek Grzes:
SESAM at SemEval-2020 Task 8: Investigating the Relationship between Image and Text in Sentiment Analysis of Memes. 804-816 - Jiaxiang Liu, Xuyi Chen, Shikun Feng, Shuohuan Wang, Xuan Ouyang, Yu Sun, Zhengjie Huang, Weiyue Su:
Kk2018 at SemEval-2020 Task 9: Adversarial Training for Code-Mixing Sentiment Classification. 817-823 - Kristian Nørgaard Jensen, Nicolaj Filrup Rasmussen, Thai Wang, Marco Placenti, Barbara Plank:
Buhscitu at SemEval-2020 Task 7: Assessing Humour in Edited News Headlines Using Hand-Crafted Features and Online Knowledge Bases. 824-832 - Ravi Theja Desetty, Ranit Chatterjee, Smita Ghaisas:
Hasyarasa at SemEval-2020 Task 7: Quantifying Humor as Departure from Expectedness. 833-842 - Martin Docekal, Martin Fajcik, Josef Jon, Pavel Smrz:
JokeMeter at SemEval-2020 Task 7: Convolutional Humor. 843-851 - Rida Miraj, Masaki Aono:
KDEhumor at SemEval-2020 Task 7: A Neural Network Model for Detecting Funniness in Dataset Humicroedit. 852-857 - Siddhant Mahurkar, Rajaswa Patil:
LRG at SemEval-2020 Task 7: Assessing the Ability of BERT and Derivative Models to Perform Short-Edits Based Humor Grading. 858-864 - Kayalvizhi S, D. Thenmozhi, Chandrabose Aravindan:
SSN_NLP at SemEval-2020 Task 7: Detecting Funniness Level Using Traditional Learning with Sentence Embeddings. 865-870 - Joseph Tomasulo, Jin Wang, Xuejie Zhang:
YNU-HPCC at SemEval-2020 Task 7: Using an Ensemble BiGRU Model to Evaluate the Humor of Edited News Titles. 871-875 - Pradyumna Gupta, Himanshu Gupta, Aman Sinha:
DSC IIT-ISM at SemEval-2020 Task 8: Bi-Fusion Techniques for Deep Meme Emotion Analysis. 876-884 - Arup Baruah, Kaushik Amar Das, Ferdous A. Barbhuiya, Kuntal Dey:
IIITG-ADBU at SemEval-2020 Task 8: A Multimodal Approach to Detect Offensive, Sarcastic and Humorous Memes. 885-890 - Ingroj Shrestha, Jonathan Rusert:
NLP_UIOWA at SemEval-2020 Task 8: You're Not the Only One Cursed with Knowledge - Multi Branch Model Memotion Analysis. 891-900 - Xiaoyu Guo, Jing Ma, Arkaitz Zubiaga:
NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion Analysis. 901-907 - Gretel Liz De la Peña Sarracén, Paolo Rosso, Anastasia Giachanou:
PRHLT-UPV at SemEval-2020 Task 8: Study of Multimodal Techniques for Memes Analysis. 908-915 - Li Yuan, Jin Wang, Xuejie Zhang:
YNU-HPCC at SemEval-2020 Task 8: Using a Parallel-Channel Model for Memotion Analysis. 916-921 - Frances Adriana Laureano De Leon, Florimond Guéniat, Harish Tayyar Madabushi:
CS-Embed at SemEval-2020 Task 9: The Effectiveness of Code-switched Word Embeddings for Sentiment Analysis. 922-927 - Lavinia Aparaschivei, Andrei Palihovici, Daniela Gîfu:
FII-UAIC at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text Using CNN. 928-933 - Meghana Bhange, Nirant Kasliwal:
HinglishNLP at SemEval-2020 Task 9: Fine-tuned Language Models for Hinglish Sentiment Detection. 934-939 - Jun Kong, Jin Wang, Xuejie Zhang:
HPCC-YNU at SemEval-2020 Task 9: A Bilingual Vector Gating Mechanism for Sentiment Analysis of Code-Mixed Text. 940-945 - Arup Baruah, Kaushik Amar Das, Ferdous A. Barbhuiya, Kuntal Dey:
IIITG-ADBU at SemEval-2020 Task 9: SVM for Sentiment Analysis of English-Hindi Code-Mixed Text. 946-950 - Anirudh Srinivasan:
MSR India at SemEval-2020 Task 9: Multilingual Models Can Do Code-Mixing Too. 951-956 - Jason Angel, Segun Taofeek Aroyehun, Antonio Tamayo, Alexander F. Gelbukh:
NLP-CIC at SemEval-2020 Task 9: Analysing Sentiment in Code-switching Language Using a Simple Deep-learning Classifier. 957-962 - Daniel Palomino, José Ochoa Luna:
Palomino-Ochoa at SemEval-2020 Task 9: Robust System Based on Transformer for Code-Mixed Sentiment Classification. 963-967 - Koustava Goswami, Priya Rani, Bharathi Raja Chakravarthi, Theodorus Fransen, John P. McCrae:
ULD@NUIG at SemEval-2020 Task 9: Generative Morphemes with an Attention Model for Sentiment Analysis in Code-Mixed Text. 968-974 - Yili Ma, Liang Zhao, Jie Hao:
XLP at SemEval-2020 Task 9: Cross-lingual Models with Focal Loss for Sentiment Analysis of Code-Mixing Language. 975-980 - Alon Rozental, Dadi Biton, Ido Blank:
Amobee at SemEval-2020 Task 7: Regularization of Language Model Based Classifiers. 981-985 - Shuning Jin, Yue Yin, XianE Tang, Ted Pedersen:
Duluth at SemEval-2020 Task 7: Using Surprise as a Key to Unlock Humorous Headlines. 986-994 - Tiantian Zhang, Zhixuan Chen, Man Lan:
ECNU at SemEval-2020 Task 7: Assessing Humor in Edited News Headlines Using BiLSTM with Attention. 995-1000 - Enas Khwaileh, Muntaha Al-Asa'd:
ELMo-NB at SemEval-2020 Task 7: Assessing Sense of Humor in EditedNews Headlines Using ELMo and NB. 1001-1007 - Weilong Chen, Jipeng Li, Chenghao Huang, Wei Bai, Yanru Zhang, Yan Wang:
Ferryman at SemEval-2020 Task 7: Ensemble Model for Assessing Humor in Edited News Headlines. 1008-1012 - Xuefeng Luo, Kuan Tang:
Funny3 at SemEval-2020 Task 7: Humor Detection of Edited Headlines with LSTM and TFIDF Neural Network System. 1013-1018 - Anna-Katharina Dick, Charlotte Weirich, Alla Kutkina:
HumorAAC at SemEval-2020 Task 7: Assessing the Funniness of Edited News Headlines through Regression and Trump Mentions. 1019-1025 - Pramodith Ballapuram:
LMML at SemEval-2020 Task 7: Siamese Transformers for Rating Humor in Edited News Headlines. 1026-1032 - Bram Vanroy, Sofie Labat, Olha Kaminska, Els Lefever, Véronique Hoste:
LT3 at SemEval-2020 Task 7: Comparing Feature-Based and Transformer-Based Approaches to Detect Funny Headlines. 1033-1040 - Fara Shatnawi, Malak Abdullah, Mahmoud Hammad:
MLEngineer at SemEval-2020 Task 7: BERT-Flair Based Humor Detection Model (BFHumor). 1041-1048 - J. A. Meaney, Steven R. Wilson, Walid Magdy:
Smash at SemEval-2020 Task 7: Optimizing the Hyperparameters of ERNIE 2.0 for Humor Ranking and Rating. 1049-1054 - Anita Soloveva:
SO at SemEval-2020 Task 7: DeepPavlov Logistic Regression with BERT Embeddings vs SVR at Funniness Evaluation. 1055-1059 - Charlotte Ammer, Lea Grüner:
UniTuebingenCL at SemEval-2020 Task 7: Humor Detection in News Headlines. 1060-1065 - Gustavo Henrique Paetzold:
UTFPR at SemEval-2020 Task 7: Using Co-occurrence Frequencies to Capture Unexpectedness. 1066-1070 - Cheng Zhang, Hayato Yamana:
WUY at SemEval-2020 Task 7: Combining BERT and Naive Bayes-SVM for Humor Assessment in Edited News Headlines. 1071-1076 - Jian Ma, Shu-Yi Xie, Meizhi Jin, Lian-Xin Jiang, Yang Mo, Jian-Ping Shen:
XSYSIGMA at SemEval-2020 Task 7: Method for Predicting Headlines' Humor Based on Auxiliary Sentences with EI-BERT. 1077-1084 - Ambuje Gupta, Harsh Kataria, Souvik Mishra, Tapas Badal, Vipul Mishra:
BennettNLP at SemEval-2020 Task 8: Multimodal sentiment classification Using Hybrid Hierarchical Classifier. 1085-1093 - Adithya Avvaru, Sanath Vobilisetty:
BERT at SemEval-2020 Task 8: Using BERT to Analyse Meme Emotions. 1094-1099 - Zhen Li, Yaojie Zhang, Bing Xu, Tiejun Zhao:
CN-HIT-MI.T at SemEval-2020 Task 8: Memotion Analysis Based on BERT. 1100-1105 - Abu Nowshed Chy, Umme Aymun Siddiqua, Masaki Aono:
CSECU_KDE_MA at SemEval-2020 Task 8: A Neural Attention Model for Memotion Analysis. 1106-1111 - Sunil Gundapu, Radhika Mamidi:
Gundapusunil at SemEval-2020 Task 8: Multimodal Memotion Analysis. 1112-1119 - Yingmei Guo, Jinfa Huang, Yanlong Dong, Mingxing Xu:
Guoym at SemEval-2020 Task 8: Ensemble-based Classification of Visuo-Lingual Metaphor in Memes. 1120-1125 - Terufumi Morishita, Gaku Morio, Shota Horiguchi, Hiroaki Ozaki, Toshinori Miyoshi:
Hitachi at SemEval-2020 Task 8: Simple but Effective Modality Ensemble for Meme Emotion Recognition. 1126-1134 - Vishal Keswani, Sakshi Singh, Suryansh Agarwal, Ashutosh Modi:
IITK at SemEval-2020 Task 8: Unimodal and Bimodal Sentiment Analysis of Internet Memes. 1135-1140 - Guillermo Ruiz, Eric Sadit Tellez, Daniela Moctezuma, Sabino Miranda-Jiménez, Tania A. Ramirez-delReal, Mario Graff:
Infotec + CentroGEO at SemEval-2020 Task 8: Deep Learning and Text Categorization approach for Memes classification. 1141-1147 - Kaushik Amar Das, Arup Baruah, Ferdous Ahmed Barbhuiya, Kuntal Dey:
KAFK at SemEval-2020 Task 8: Extracting Features from Pre-trained Neural Networks to Classify Internet Memes. 1148-1154 - Pranaydeep Singh, Nina Bauwelinck, Els Lefever:
LT3 at SemEval-2020 Task 8: Multi-Modal Multi-Task Learning for Memotion Analysis. 1155-1162 - Mayukh Sharma, Ilanthenral Kandasamy, W. B. Vasantha:
Memebusters at SemEval-2020 Task 8: Feature Fusion Model for Sentiment Analysis on Memes Using Transfer Learning. 1163-1171 - Irina Bejan:
MemoSYS at SemEval-2020 Task 8: Multimodal Emotion Analysis in Memes. 1172-1178 - Steve Durairaj Swamy, Shubham Laddha, Basil Abdussalam, Debayan Datta, Anupam Jamatia:
NIT-Agartala-NLP-Team at SemEval-2020 Task 8: Building Multimodal Classifiers to Tackle Internet Humor. 1179-1189 - Sravani Boinepelli, Manish Shrivastava, Vasudeva Varma:
SIS@IIITH at SemEval-2020 Task 8: An Overview of Simple Text Classification Methods for Meme Analysis. 1190-1194 - Andi Suciati, Indra Budi:
UI at SemEval-2020 Task 8: Text-Image Fusion for Sentiment Classification. 1195-1200 - Zehao Liu, Emmanuel Osei-Brefo, Siyuan Chen, Huizhi Liang:
UoR at SemEval-2020 Task 8: Gaussian Mixture Modelling (GMM) Based Sampling Approach for Multi-modal Memotion Analysis. 1201-1207 - George-Alexandru Vlad, George-Eduard Zaharia, Dumitru-Clementin Cercel, Costin-Gabriel Chiru, Stefan Trausan-Matu:
UPB at SemEval-2020 Task 8: Joint Textual and Visual Modeling in a Multi-Task Learning Architecture for Memotion Analysis. 1208-1214 - Urszula Walinska, Jedrzej Potoniec:
Urszula Wali'nska at SemEval-2020 Task 8: Fusion of Text and Image Features Using LSTM and VGG16 for Memotion Analysis. 1215-1220 - Ayush Kumar, Harsh Agarwal, Keshav Bansal, Ashutosh Modi:
BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text. 1221-1226 - Laksh Advani, Clement Lu, Suraj Maharjan:
C1 at SemEval-2020 Task 9: SentiMix: Sentiment Analysis for Code-Mixed Social Media Text Using Feature Engineering. 1227-1232 - Manoel Veríssimo dos Santos Neto, Ayrton Denner da Silva Amaral, Nádia Félix F. da Silva, Anderson da Silva Soares:
Deep Learning Brasil - NLP at SemEval-2020 Task 9: Sentiment Analysis of Code-Mixed Tweets Using Ensemble of Language Models. 1233-1238 - Bertelt Braaksma, Richard Scholtens, Stan van Suijlekom, Remy Wang, Ahmet Üstün:
FiSSA at SemEval-2020 Task 9: Fine-tuned for Feelings. 1239-1246 - Sunil Gundapu, Radhika Mamidi:
Gundapusunil at SemEval-2020 Task 9: Syntactic Semantic LSTM Architecture for SENTIment Analysis of Code-MIXed Data. 1247-1252 - Aditya Srivastava, V. Harsha Vardhan:
HCMS at SemEval-2020 Task 9: A Neural Approach to Sentiment Analysis for Code-Mixed Texts. 1253-1258 - Vivek Srivastava, Mayank Singh:
IIT Gandhinagar at SemEval-2020 Task 9: Code-Mixed Sentiment Classification Using Candidate Sentence Generation and Selection. 1259-1264 - Apurva Parikh, Abhimanyu Singh Bisht, Prasenjit Majumder:
IRLab_DAIICT at SemEval-2020 Task 9: Machine Learning and Deep Learning Methods for Sentiment Analysis of Code-Mixed Tweets. 1265-1269 - Soroush Javdan, Taha Shangipour Ataei, Behrouz Minaei-Bidgoli:
IUST at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text Using Deep Neural Networks and Linear Baselines. 1270-1275 - Avishek Garain, Sainik Kumar Mahata, Dipankar Das:
JUNLP at SemEval-2020 Task 9: Sentiment Analysis of Hindi-English Code Mixed Data Using Grid Search Cross Validation. 1276-1280 - Somnath Banerjee, Sahar Ghannay, Sophie Rosset, Anne Vilnat, Paolo Rosso:
LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis. 1281-1287 - Pranaydeep Singh, Els Lefever:
LT3 at SemEval-2020 Task 9: Cross-lingual Embeddings for Sentiment Analysis of Hinglish Social Media Text. 1288-1293 - Qi Wu, Peng Wang, Chenghao Huang:
MeisterMorxrc at SemEval-2020 Task 9: Fine-Tune Bert and Multitask Learning for Sentiment Analysis of Code-Mixed Tweets. 1294-1297 - Subhra Jyoti Baroi, Nivedita Singh, Ringki Das, Thoudam Doren Singh:
NITS-Hinglish-SentiMix at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text Using an Ensemble Model. 1298-1303 - Vinay Gopalan, Mark Hopkins:
Reed at SemEval-2020 Task 9: Fine-Tuning and Bag-of-Words Approaches to Code-Mixed Sentiment Analysis. 1304-1309 - Aditya Malte, Pratik Bhavsar, Sushant Rathi:
Team_Swift at SemEval-2020 Task 9: Tiny Data Specialists through Domain-Specific Pre-training on Code-Mixed Data. 1310-1315 - Elizabeth Bear, Diana Constantina Hoefels, Mihai Manolescu:
TueMix at SemEval-2020 Task 9: Logistic Regression with Linguistic Feature Set. 1316-1321 - George-Eduard Zaharia, George-Alexandru Vlad, Dumitru-Clementin Cercel, Traian Rebedea, Costin-Gabriel Chiru:
UPB at SemEval-2020 Task 9: Identifying Sentiment in Code-Mixed Social Media Texts Using Transformers and Multi-Task Learning. 1322-1330 - Abhishek Singh, Surya Pratap Singh Parmar:
Voice@SRIB at SemEval-2020 Tasks 9 and 12: Stacked Ensemblingmethod for Sentiment and Offensiveness detection in Social Media. 1331-1341 - Ahmed Sultan, Mahmoud Salim, Amina Gaber, Islam El Hosary:
WESSA at SemEval-2020 Task 9: Code-Mixed Sentiment Analysis Using Transformers. 1342-1347 - Wei Bao, Weilong Chen, Wei Bai, Yan Zhuang, Mingyuan Cheng, Xiangyu Ma:
Will_go at SemEval-2020 Task 9: An Accurate Approach for Sentiment Analysis on Hindi-English Tweets Based on Bert and Pesudo Label Strategy. 1348-1353 - Yueying Zhu, Xiaobing Zhou, Hongling Li, Kunjie Dong:
Zyy1510 Team at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text with Sub-word Level Representations. 1354-1359 - Amirreza Shirani, Franck Dernoncourt, Nedim Lipka, Paul Asente, Jose Echevarria, Thamar Solorio:
SemEval-2020 Task 10: Emphasis Selection for Written Text in Visual Media. 1360-1370 - Jaeyoul Shin, Taeuk Kim, Sang-goo Lee:
IDS at SemEval-2020 Task 10: Does Pre-trained Language Model Know What to Emphasize? 1371-1376 - Giovanni Da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth, Rostislav Petrov, Preslav Nakov:
SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles. 1377-1414 - Dawid Jurkiewicz, Lukasz Borchmann, Izabela Kosmala, Filip Gralinski:
ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether Self-Training Helps Them. 1415-1424 - Marcos Zampieri, Preslav Nakov, Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov, Hamdy Mubarak, Leon Derczynski, Zeses Pitenis, Çagri Çöltekin:
SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020). 1425-1447 - Shuohuan Wang, Jiaxiang Liu, Xuan Ouyang, Yu Sun:
Galileo at SemEval-2020 Task 12: Multi-lingual Learning for Offensive Language Identification Using Pre-trained Language Models. 1448-1455 - Zhengjie Huang, Shikun Feng, Weiyue Su, Xuyi Chen, Shuohuan Wang, Jiaxiang Liu, Xuan Ouyang, Yu Sun:
ERNIE at SemEval-2020 Task 10: Learning Word Emphasis Selection by Pre-trained Language Model. 1456-1461 - Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
Aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning. 1462-1468 - Verena Blaschke, Maxim Korniyenko, Sam Tureski:
CyberWallE at SemEval-2020 Task 11: An Analysis of Feature Engineering for Ensemble Models for Propaganda Detection. 1469-1480 - Dmitry Grigorev, Vladimir Ivanov:
Inno at SemEval-2020 Task 11: Leveraging Pure Transfomer for Multi-Class Propaganda Detection. 1481-1487 - Ilya Dimov, Vladislav Korzun, Ivan Smurov:
NoPropaganda at SemEval-2020 Task 11: A Borrowed Approach to Sequence Tagging and Text Classification. 1488-1494 - Anastasios Arsenos, Georgios Siolas:
NTUAAILS at SemEval-2020 Task 11: Propaganda Detection and Classification with biLSTMs and ELMo. 1495-1501 - Michael Kranzlein, Shabnam Behzad, Nazli Goharian:
Team DoNotDistribute at SemEval-2020 Task 11: Features, Finetuning, and Data Augmentation in Neural Models for Propaganda Detection in News Articles. 1502-1508 - Jiaxu Dao, Jin Wang, Xuejie Zhang:
YNU-HPCC at SemEval-2020 Task 11: LSTM Network for Detection of Propaganda Techniques in News Articles. 1509-1515 - Mahen Herath, Thushari Atapattu, Hoang Anh Dung, Christoph Treude, Katrina Falkner:
AdelaideCyC at SemEval-2020 Task 12: Ensemble of Classifiers for Offensive Language Detection in Social Media. 1516-1523 - Juan Manuel Pérez, Aymé Arango, Franco M. Luque:
ANDES at SemEval-2020 Task 12: A Jointly-trained BERT Multilingual Model for Offensive Language Detection. 1524-1531 - Abdullah I. Alharbi, Mark Lee:
BhamNLP at SemEval-2020 Task 12: An Ensemble of Different Word Embeddings and Emotion Transfer Learning for Arabic Offensive Language Identification in Social Media. 1532-1538 - Camilla Casula, Alessio Palmero Aprosio, Stefano Menini, Sara Tonelli:
FBK-DH at SemEval-2020 Task 12: Using Multi-channel BERT for Multilingual Offensive Language Detection. 1539-1545 - Davide Colla, Tommaso Caselli, Valerio Basile, Jelena Mitrovic, Michael Granitzer:
GruPaTo at SemEval-2020 Task 12: Retraining mBERT on Social Media and Fine-tuned Offensive Language Models. 1546-1554 - Sajad Sotudeh, Tong Xiang, Hao-Ren Yao, Sean MacAvaney, Eugene Yang, Nazli Goharian, Ophir Frieder:
GUIR at SemEval-2020 Task 12: Domain-Tuned Contextualized Models for Offensive Language Detection. 1555-1561 - Arup Baruah, Kaushik Amar Das, Ferdous A. Barbhuiya, Kuntal Dey:
IIITG-ADBU at SemEval-2020 Task 12: Comparison of BERT and BiLSTM in Detecting Offensive Language. 1562-1568 - Marc Pàmies, Emily Öhman, Kaisla Kajava, Jörg Tiedemann:
LT@Helsinki at SemEval-2020 Task 12: Multilingual or Language-specific BERT? 1569-1575 - Hwijeen Ahn, Jimin Sun, Chan Young Park, Jungyun Seo:
NLPDove at SemEval-2020 Task 12: Improving Offensive Language Detection with Cross-lingual Transfer. 1576-1586 - Susan Wang, Zita Marinho:
Nova-Wang at SemEval-2020 Task 12: OffensEmblert: An Ensemble ofOffensive Language Classifiers. 1587-1597 - Shardul Suryawanshi, Mihael Arcan, Paul Buitelaar:
NUIG at SemEval-2020 Task 12: Pseudo Labelling for Offensive Content Classification. 1598-1604 - Gretel Liz De la Peña Sarracén, Paolo Rosso:
PRHLT-UPV at SemEval-2020 Task 12: BERT for Multilingual Offensive Language Detection. 1605-1614 - Piotr Janiszewski, Mateusz Skiba, Urszula Walinska:
PUM at SemEval-2020 Task 12: Aggregation of Transformer-based Models' Features for Offensive Language Recognition. 1615-1621 - Flor Miriam Plaza del Arco, M. Dolores Molina-González, Luis Alfonso Ureña López, Maite Martín-Valdivia:
SINAI at SemEval-2020 Task 12: Offensive Language Identification Exploring Transfer Learning Models. 1622-1627 - Md Saroar Jahan:
Team Oulu at SemEval-2020 Task 12: Multilingual Identification of Offensive Language, Type and Target of Twitter Post Using Translated Datasets. 1628-1637 - Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann:
UHH-LT at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection. 1638-1644 - Chandresh S. Kanani, Sriparna Saha, Pushpak Bhattacharyya:
EL-BERT at SemEval-2020 Task 10: A Multi-Embedding Ensemble Based Approach for Emphasis Selection in Visual Media. 1645-1651 - Chenyang Guo, Xiaolong Hou, Junsong Ren, Lian-Xin Jiang, Yang Mo, Haiqin Yang, Jian-Ping Shen:
FPAI at SemEval-2020 Task 10: A Query Enhanced Model with RoBERTa for Emphasis Selection. 1652-1657 - Gaku Morio, Terufumi Morishita, Hiroaki Ozaki, Toshinori Miyoshi:
Hitachi at SemEval-2020 Task 10: Emphasis Distribution Fusion on Fine-Tuned Language Models. 1658-1664 - Vipul Singhal, Sahil Dhull, Rishabh Agarwal, Ashutosh Modi:
IITK at SemEval-2020 Task 10: Transformers for Emphasis Selection. 1665-1670 - Yves Bestgen:
LAST at SemEval-2020 Task 10: Finding Tokens to Emphasise in Short Written Texts with Precomputed Embedding Models and LightGBM. 1671-1677 - Sarthak Anand, Pradyumna Gupta, Hemant Yadav, Debanjan Mahata, Rakesh Gosangi, Haimin Zhang, Rajiv Ratn Shah:
MIDAS at SemEval-2020 Task 10: Emphasis Selection Using Label Distribution Learning and Contextual Embeddings. 1678-1684 - Aleksandr Shatilov, Denis Gordeev, Alexey Rey:
Randomseed19 at SemEval-2020 Task 10: Emphasis Selection for Written Text in Visual Media. 1685-1690 - Zhishen Yang, Lars Wolfsteller, Naoaki Okazaki:
TextLearner at SemEval-2020 Task 10: A Contextualized Ranking System in Solving Emphasis Selection in Text. 1691-1697 - Kevin Glocker, Stefanos Andreas Markianos Wright:
TëXtmarkers at SemEval-2020 Task 10: Emphasis Selection with Agreement Dependent Crowd Layers. 1698-1703 - Philip Hossu, Natalie Parde:
UIC-NLP at SemEval-2020 Task 10: Exploring an Alternate Perspective on Evaluation. 1704-1709 - Dawei Liao, Jin Wang, Xuejie Zhang:
YNU-HPCC at SemEval-2020 Task 10: Using a Multi-granularity Ordinal Classification of the BiLSTM Model for Emphasis Selection. 1710-1715 - Dimas Sony Dewantara, Indra Budi, Muhammad Okky Ibrohim:
3218IR at SemEval-2020 Task 11: Conv1D and Word Embedding in Propaganda Span Identification at News Articles. 1716-1721 - Rajaswa Patil, Somesh Singh, Swati Agarwal:
BPGC at SemEval-2020 Task 11: Propaganda Detection in News Articles with Multi-Granularity Knowledge Sharing and Linguistic Features Based Ensemble Learning. 1722-1731 - Anastasios Bairaktaris, Symeon Symeonidis, Avi Arampatzis:
DUTH at SemEval-2020 Task 11: BERT with Entity Mapping for Propaganda Classification. 1732-1738 - Gaku Morio, Terufumi Morishita, Hiroaki Ozaki, Toshinori Miyoshi:
Hitachi at SemEval-2020 Task 11: An Empirical Study of Pre-Trained Transformer Family for Propaganda Detection. 1739-1748 - Ola Altiti, Malak Abdullah, Rasha Obiedat:
JUST at SemEval-2020 Task 11: Detecting Propaganda Techniques Using BERT Pre-trained Model. 1749-1755 - Sopan Khosla, Rishabh Joshi, Ritam Dutt, Alan W. Black, Yulia Tsvetkov:
LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification. 1756-1763 - Paramansh Singh, Siraj Sandhu, Subham Kumar, Ashutosh Modi:
newsSweeper at SemEval-2020 Task 11: Context-Aware Rich Feature Representations for Propaganda Classification. 1764-1770 - Matej Martinkovic, Samuel Pecar, Marián Simko:
NLFIIT at SemEval-2020 Task 11: Neural Network Architectures for Detection of Propaganda Techniques in News Articles. 1771-1778 - Aniruddha Chauhan, Harshita Diddee:
PsuedoProp at SemEval-2020 Task 11: Propaganda Span Detection Using BERT-CRF and Ensemble Sentence Level Classifier. 1779-1785 - Daryna Dementieva, Igor Markov, Alexander Panchenko:
SkoltechNLP at SemEval-2020 Task 11: Exploring Unsupervised Text Augmentation for Propaganda Detection. 1786-1792 - Gangeshwar Krishnamurthy, Raj Kumar Gupta, Yinping Yang:
SocCogCom at SemEval-2020 Task 11: Characterizing and Detecting Propaganda Using Sentence-Level Emotional Salience Features. 1793-1801 - Mayank Raj, Ajay Jaiswal, Rohit R. R, Ankita Gupta, Sudeep Kumar Sahoo, Vertika Srivastava, Yeon Hyang Kim:
Solomon at SemEval-2020 Task 11: Ensemble Architecture for Fine-Tuned Propaganda Detection in News Articles. 1802-1807 - Jinfen Li, Lu Xiao:
syrapropa at SemEval-2020 Task 11: BERT-based Models Design for Propagandistic Technique and Span Detection. 1808-1816 - Anders Kaas, Viktor Torp Thomsen, Barbara Plank:
Team DiSaster at SemEval-2020 Task 11: Combining BERT and Hand-crafted Features for Identifying Propaganda Techniques in News. 1817-1822 - Ekansh Verma, Vinodh Motupalli, Souradip Chakraborty:
Transformers at SemEval-2020 Task 11: Propaganda Fragment Detection Using Diversified BERT Architectures Based Ensemble Learning. 1823-1828 - Moonsung Kim, Steven Bethard:
TTUI at SemEval-2020 Task 11: Propaganda Detection with Transfer Learning and Ensembles. 1829-1834 - Vlad Ermurachi, Daniela Gîfu:
UAIC1860 at SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles. 1835-1840 - Yunzhe Jiang, Cristina Garbacea, Qiaozhu Mei:
UMSIForeseer at SemEval-2020 Task 11: Propaganda Detection by Fine-Tuning BERT with Resampling and Ensemble Learning. 1841-1846 - Maia Petee, Alexis Palmer:
UNTLing at SemEval-2020 Task 11: Detection of Propaganda Techniques in English News Articles. 1847-1852 - Andrei Paraschiv, Dumitru-Clementin Cercel, Mihai Dascalu:
UPB at SemEval-2020 Task 11: Propaganda Detection with Domain-Specific Trained BERT. 1853-1857 - Elena Mikhalkova, Nadezhda Ganzherli, Anna V. Glazkova, Yuliya Bidulya:
UTMN at SemEval-2020 Task 11: A Kitchen Solution to Automatic Propaganda Detection. 1858-1864 - Guillaume Daval-Frerot, Yannick Weis:
WMD at SemEval-2020 Tasks 7 and 11: Assessing Humor and Propaganda Using Unsupervised Data Augmentation. 1865-1874 - Xin Tao, Xiaobing Zhou:
YNUtaoxin at SemEval-2020 Task 11: Identification Fragments of Propaganda Technique by Neural Sequence Labeling Models with Different Tagging Schemes and Pre-trained Language Model. 1875-1880 - Mai Ibrahim, Marwan Torki, Nagwa M. El-Makky:
AlexU-BackTranslation-TL at SemEval-2020 Task 12: Improving Offensive Language Detection Using Data Augmentation and Transfer Learning. 1881-1890 - Sabit Hassan, Younes Samih, Hamdy Mubarak, Ahmed Abdelali:
ALT at SemEval-2020 Task 12: Arabic and English Offensive Language Identification in Social Media. 1891-1897 - Alejandro Mosquera:
Amsqr at SemEval-2020 Task 12: Offensive Language Detection Using Neural Networks and Anti-adversarial Features. 1898-1905 - Tharindu Ranasinghe, Hansi Hettiarachchi:
BRUMS at SemEval-2020 Task 12: Transformer Based Multilingual Offensive Language Identification in Social Media. 1906-1915 - Kathryn Annette Chapman, Johannes Bernhard, Dietrich Klakow:
CoLi at UdS at SemEval-2020 Task 12: Offensive Tweet Detection with Ensembling. 1916-1924 - Sayanta Paul, Sriparna Saha, Mohammed Hasanuzzaman:
CyberTronics at SemEval-2020 Task 12: Multilingual Offensive Language Identification over Social Media. 1925-1931 - Zoher Orabe, Bushr Haddad, Nada Ghneim, Anas Al-Abood:
DoTheMath at SemEval-2020 Task 12 : Deep Neural Networks with Self Attention for Arabic Offensive Language Detection. 1932-1937 - Ted Pedersen:
Duluth at SemEval-2020 Task 12: Offensive Tweet Identification in English with Logistic Regression. 1938-1946 - Weilong Chen, Peng Wang, Jipeng Li, Yuanshuai Zheng, Yan Wang, Yanru Zhang:
Ferryman at SemEval-2020 Task 12: BERT-Based Model with Advanced Improvement Methods for Multilingual Offensive Language Identification. 1947-1952 - Avishek Garain:
Garain at SemEval-2020 Task 12: Sequence Based Deep Learning for Categorizing Offensive Language in Social Media. 1953-1960 - Manikandan Ravikiran, Amin Ekant Muljibhai, Toshinori Miyoshi, Hiroaki Ozaki, Yuta Koreeda, Sakata Masayuki:
Hitachi at SemEval-2020 Task 12: Offensive Language Identification with Noisy Labels Using Statistical Sampling and Post-Processing. 1961-1967 - Victoria Pachón Álvarez, Jacinto Mata Vázquez, José Manuel López Betanzos, José Luis Arjona Fernández:
I2C at SemEval-2020 Task 12: Simple but Effective Approaches to Offensive Speech Detection in Twitter. 1968-1977 - Abir Messaoudi, Hatem Haddad, Moez Ben Haj Hmida:
iCompass at SemEval-2020 Task 12: From a Syntax-ignorant N-gram Embeddings Model to a Deep Bidirectional Language Model. 1978-1982 - Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya:
IITP-AINLPML at SemEval-2020 Task 12: Offensive Tweet Identification and Target Categorization in a Multitask Environment. 1983-1991 - Sabino Miranda-Jiménez, Eric Sadit Tellez, Mario Graff, Daniela Moctezuma:
INGEOTEC at SemEval-2020 Task 12: Multilingual Classification of Offensive Text. 1992-1997 - Sandy Kurniawan, Indra Budi, Muhammad Okky Ibrohim:
IR3218-UI at SemEval-2020 Task 12: Emoji Effects on Offensive Language IdentifiCation. 1998-2005 - Apurva Parikh, Abhimanyu Singh Bisht, Prasenjit Majumder:
IRLab_DAIICT at SemEval-2020 Task 12: Machine Learning and Deep Learning Methods for Offensive Language Identification. 2006-2011 - Anita Saroj, Supriya Chanda, Sukomal Pal:
IRlab@IITV at SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media Using SVM. 2012-2016 - Moshe Uzan, Yaakov HaCohen-Kerner:
JCT at SemEval-2020 Task 12: Offensive Language Detection in Tweets Using Preprocessing Methods, Character and Word N-grams. 2017-2022 - Kaushik Amar Das, Arup Baruah, Ferdous Ahmed Barbhuiya, Kuntal Dey:
KAFK at SemEval-2020 Task 12: Checkpoint Ensemble of Transformers for Hate Speech Classification. 2023-2029 - Keisuke Hanahata, Masaki Aono:
KDELAB at SemEval-2020 Task 12: A System for Estimating Aggression of Tweets Using Two Layers of BERT Features. 2030-2034 - Saia Khaled Tawalbeh, Mahmoud Hammad, Mohammad Al-Smadi:
KEIS@JUST at SemEval-2020 Task 12: Identifying Multilingual Offensive Tweets Using Weighted Ensemble and Fine-Tuned BERT. 2035-2044 - Kasper Socha:
KS@LTH at SemEval-2020 Task 12: Fine-tuning Multi- and Monolingual Transformer Models for Offensive Language Detection. 2045-2053 - Ali Safaya, Moutasem Abdullatif, Deniz Yuret:
KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social Media. 2054-2059 - Wenliang Dai, Tiezheng Yu, Zihan Liu, Pascale Fung:
Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-TaskLearning for Offensive Language Detection. 2060-2066 - Junyi Li, Xiaobing Zhou, Zichen Zhang:
Lee at SemEval-2020 Task 12: A BERT Model Based on the Maximum Self-ensemble Strategy for Identifying Offensive Language. 2067-2072 - Erfan Ghadery, Marie-Francine Moens:
LIIR at SemEval-2020 Task 12: A Cross-Lingual Augmentation Approach for Multilingual Offensive Language Identification. 2073-2079 - Hamza Alami, Said Ouatik El Alaoui, Abdessamad Benlahbib, Noureddine Ennahnahi:
LISAC FSDM-USMBA Team at SemEval-2020 Task 12: Overcoming AraBERT's pretrain-finetune discrepancy for Arabic offensive language identification. 2080-2085 - Hamada A. Nayel:
NAYEL at SemEval-2020 Task 12: TF/IDF-Based Approach for Automatic Offensive Language Detection in Arabic Tweets. 2086-2089 - Omar Hussein, Hachem Sfar, Jelena Mitrovic, Michael Granitzer:
NLP_Passau at SemEval-2020 Task 12: Multilingual Neural Network for Offensive Language Detection in English, Danish and Turkish. 2090-2097 - Ehab Hamdy, Jelena Mitrovic, Michael Granitzer:
nlpUP at SemEval-2020 Task 12 : A Blazing Fast System for Offensive Language Detection. 2098-2104 - Po-Chun Chen, Hen-Hsen Huang, Hsin-Hsi Chen:
NTU_NLP at SemEval-2020 Task 12: Identifying Offensive Tweets Using Hierarchical Multi-Task Learning Approach. 2105-2110 - Bao-Tran Pham-Hong, Setu Chokshi:
PGSG at SemEval-2020 Task 12: BERT-LSTM with Tweets' Pretrained Model and Noisy Student Training Method. 2111-2116 - Pinar Arslan:
Pin_cod_ at SemEval-2020 Task 12: Injecting Lexicons into Bidirectional Long Short-Term Memory Networks to Detect Turkish Offensive Tweets. 2117-2122 - Karishma Laud, Jagriti Singh, Randeep Kumar Sahu, Ashutosh Modi:
problemConquero at SemEval-2020 Task 12: Transformer and Soft Label-based Approaches. 2123-2132 - Fatemah Husain, Jooyeon Lee, Sam Henry, Özlem Uzuner:
SalamNET at SemEval-2020 Task 12: Deep Learning Approach for Arabic Offensive Language Detection. 2133-2139 - Peter Juel Henrichsen, Marianne Rathje:
Smatgrisene at SemEval-2020 Task 12: Offense Detection by AI - with a Pinch of Real I. 2140-2145 - Sonal Kumari:
Sonal.kumari at SemEval-2020 Task 12: Social Media Multilingual Offensive Text Identification and Categorization Using Neural Network Models. 2146-2154 - Thenmozhi Durairaj, Nandhinee P. R, Arunima S., Amlan Sengupta:
Ssn_nlp at SemEval 2020 Task 12: Offense Target Identification in Social Media Using Traditional and Deep Machine Learning Approaches. 2155-2160 - Thenmozhi Durairaj, Kalaivani Adaikkan:
SSN_NLP_MLRG at SemEval-2020 Task 12: Offensive Language Identification in English, Danish, Greek Using BERT and Machine Learning Approach. 2161-2170 - Anil Özdemir, Reyyan Yeniterzi:
SU-NLP at SemEval-2020 Task 12: Offensive Language IdentifiCation in Turkish Tweets. 2171-2176 - Talha Anwar, Omer Baig:
TAC at SemEval-2020 Task 12: Ensembling Approach for Multilingual Offensive Language Identification in Social Media. 2177-2182 - Tanvi Dadu, Kartikey Pant:
Team Rouges at SemEval-2020 Task 12: Cross-lingual Inductive Transfer to Detect Offensive Language. 2183-2189 - Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee:
TECHSSN at SemEval-2020 Task 12: Offensive Language Detection Using BERT Embeddings. 2190-2196 - Pedro Alonso, Rajkumar Saini, György Kovács:
TheNorth at SemEval-2020 Task 12: Hate Speech Detection Using RoBERTa. 2197-2202 - Yinnan Yao, Nan Su, Kun Ma:
UJNLP at SemEval-2020 Task 12: Detecting Offensive Language Using Bidirectional Transformers. 2203-2208 - Jared Fromknecht, Alexis Palmer:
UNT Linguistics at SemEval-2020 Task 12: Linear SVC with Pre-trained Word Embeddings as Document Vectors and Targeted Linguistic Features. 2209-2215 - Wah Meng Lim, Harish Tayyar Madabushi:
UoB at SemEval-2020 Task 12: Boosting BERT with Corpus Level Information. 2216-2221 - Mircea-Adrian Tanase, Dumitru-Clementin Cercel, Costin-Gabriel Chiru:
UPB at SemEval-2020 Task 12: Multilingual Offensive Language Detection on Social Media by Fine-tuning a Variety of BERT-based Models. 2222-2231 - Marcos Aurélio Hermogenes Boriola, Gustavo Henrique Paetzold:
UTFPR at SemEval 2020 Task 12: Identifying Offensive Tweets with Lightweight Ensembles. 2232-2236 - Yasser Otiefy, Ahmed Abdelmalek, Islam El Hosary:
WOLI at SemEval-2020 Task 12: Arabic Offensive Language Identification on Different Twitter Datasets. 2237-2243 - Xiangjue Dong, Jinho D. Choi:
XD at SemEval-2020 Task 12: Ensemble Approach to Offensive Language Identification in Social Media Using Transformer Encoders. 2244-2250 - Xiaozhi Ou, Hongling Li:
YNU_oxz at SemEval-2020 Task 12: Bidirectional GRU with Capsule for Identifying Multilingual Offensive Language. 2251-2257
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