SemEval 2020

300 papers

SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets

Parth Patwa, Gustavo Aguilar, Sudipta Kar, Suraj Pandey, Srinivas PYKL

SemEval-2020 Task 8: Memotion Analysis- the Visuo-Lingual Metaphor!

Chhavi Sharma, Deepesh Bhageria, William Scott, Srinivas PYKL, Amitava Das

SemEval-2020 Task 7: Assessing Humor in Edited News Headlines

Nabil Hossain, John Krumm, Michael Gamon, Henry Kautz

UPB at SemEval-2020 Task 6: Pretrained Language Models for Definition Extraction

Andrei-Marius Avram, Dumitru-Clementin Cercel, Costin Chiru

UNIXLONG at SemEval-2020 Task 6: A Joint Model for Definition Extraction

Shuyi Xie, Jian Ma, Haiqin Yang, Jiang Lianxin, Mo Yang

TüKaPo at SemEval-2020 Task 6: Def(n)tly Not BERT: Definition Extraction Using pre-BERT Methods in a post-BERT World

Madeeswaran Kannan, Haemanth Santhi Ponnusamy

RGCL at SemEval-2020 Task 6: Neural Approaches to DefinitionExtraction

Tharindu Ranasinghe, Alistair Plum, Constantin Orasan, Ruslan Mitkov

DSC IIT-ISM at SemEval-2020 Task 6: Boosting BERT with Dependencies for Definition Extraction

Aadarsh Singh, Priyanshu Kumar, Aman Sinha

Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction

Marc Hübner, Christoph Alt, Robert Schwarzenberg, Leonhard Hennig

DeftPunk at SemEval-2020 Task 6: Using RNN-ensemble for the Sentence Classification.

Jekaterina Kaparina, Anna Soboleva

BERTatDE at SemEval-2020 Task 6: Extracting Term-definition Pairs in Free Text Using Pre-trained Model

Huihui Zhang, Feiliang Ren

YNU-oxz at SemEval-2020 Task 5: Detecting Counterfactuals Based on Ordered Neurons LSTM and Hierarchical Attention Network

Xiaozhi Ou, Shengyan Liu, Hongling Li

Pheonix at SemEval-2020 Task 5: Masking the Labels Lubricates Models for Sequence Labeling

Pouria Babvey, Dario Borrelli, Yutong Zhao, Carlo Lipizzi

NLU-Co at SemEval-2020 Task 5: NLU/SVM Based Model Apply Tocharacterise and Extract Counterfactual Items on Raw Data

Elvis Mboning Tchiaze, Damien Nouvel

Lee at SemEval-2020 Task 5: ALBERT Model Based on the Maximum Ensemble Strategy and Different Data Sampling Methods for Detecting Counterfactual Statements

Junyi Li, Yuhang Wu, Bin Wang, Haiyan Ding

ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling

Yaojie Lu, Annan Li, Hongyu Lin, Xianpei Han, Le Sun

Ferryman as SemEval-2020 Task 5: Optimized BERT for Detecting Counterfactuals

Weilong Chen, Yan Zhuang, Peng Wang, Feng Hong, Yan Wang

ETHAN at SemEval-2020 Task 5: Modelling Causal Reasoning in Language Using Neuro-symbolic Cloud Computing

Len Yabloko

BYteam at SemEval-2020 Task 5: Detecting Counterfactual Statements with BERT and Ensembles

Yang Bai, Xiaobing Zhou

BLCU-NLP at SemEval-2020 Task 5: Data Augmentation for Efficient Counterfactual Detecting

Chang Liu, Dong Yu

YNU-oxz at SemEval-2020 Task 4: Commonsense Validation Using BERT with Bidirectional GRU

Xiaozhi Ou, Hongling Li

Warren at SemEval-2020 Task 4: ALBERT and Multi-Task Learning for Commonsense Validation

Yuhang Wu, Hao Wu

UI at SemEval-2020 Task 4: Commonsense Validation and Explanation by Exploiting Contradiction

Kerenza Doxolodeo, Rahmad Mahendra

UAICS at SemEval-2020 Task 4: Using a Bidirectional Transformer for Task a

Ciprian-Gabriel Cusmuliuc, Lucia-Georgiana Coca, Adrian Iftene

TR at SemEval-2020 Task 4: Exploring the Limits of Language-model-based Common Sense Validation

Don Teo

TeamJUST at SemEval-2020 Task 4: Commonsense Validation and Explanation Using Ensembling Techniques

Roweida Mohammed, Malak Abdullah

Team Solomon at SemEval-2020 Task 4: Be Reasonable: Exploiting Large-scale Language Models for Commonsense Reasoning

Vertika Srivastava, Sudeep Kumar Sahoo, Yeon Hyang Kim, Rohit R.r, Mayank Raj

SSN-NLP at SemEval-2020 Task 4: Text Classification and Generation on Common Sense Context Using Neural Networks

Rishivardhan K., Kayalvizhi S, Thenmozhi D., Raghav R., Kshitij Sharma

NLP@JUST at SemEval-2020 Task 4: Ensemble Technique for BERT and Roberta to Evaluate Commonsense Validation

Emran Al-Bashabsheh, Ayah Abu Aqouleh, Mohammad AL-Smadi

Mxgra at SemEval-2020 Task 4: Common Sense Making with Next Token Prediction

Kris Collins, Max Grathwohl, Heba Ahmed

LMVE at SemEval-2020 Task 4: Commonsense Validation and Explanation Using Pretraining Language Model

Shilei Liu, Yu Guo, Bochao Li, Feiliang Ren

Lijunyi at SemEval-2020 Task 4: An ALBERT Model Based Maximum Ensemble with Different Training Sizes and Depths for Commonsense Validation and Explanation

Junyi Li, Bin Wang, Haiyan Ding

KDE SenseForce at SemEval-2020 Task 4: Exploiting BERT for Commonsense Validation and Explanation

Khanddorj Mendbayar, Masaki Aono

KaLM at SemEval-2020 Task 4: Knowledge-aware Language Models for Comprehension and Generation

Jiajing Wan, Xinting Huang

JUSTers at SemEval-2020 Task 4: Evaluating Transformer Models against Commonsense Validation and Explanation

Ali Fadel, Mahmoud Al-Ayyoub, Erik Cambria

JBNU at SemEval-2020 Task 4: BERT and UniLM for Commonsense Validation and Explanation

Seung-Hoon Na, Jong-Hyeon Lee

HR@JUST Team at SemEval-2020 Task 4: The Impact of RoBERTa Transformer for Evaluation Common Sense Understanding

Heba Al-Jarrah, Rahaf Al-Hamouri, Mohammad AL-Smadi

DEEPYANG at SemEval-2020 Task 4: Using the Hidden Layer State of BERT Model for Differentiating Common Sense

Yang Bai, Xiaobing Zhou

CS-NLP Team at SemEval-2020 Task 4: Evaluation of State-of-the-art NLP Deep Learning Architectures on Commonsense Reasoning Task

Sirwe Saeedi, Aliakbar Panahi, Seyran Saeedi, Alvis C Fong

CS-NET at SemEval-2020 Task 4: Siamese BERT for ComVE

Soumya Ranjan Dash, Sandeep Routray, Prateek Varshney, Ashutosh Modi

CN-HIT-IT.NLP at SemEval-2020 Task 4: Enhanced Language Representation with Multiple Knowledge Triples

Yice Zhang, Jiaxuan Lin, Yang Fan, Peng Jin, Yuanchao Liu

Gorynych Transformer at SemEval-2020 Task 6: Multi-task Learning for Definition Extraction

Adis Davletov, Nikolay Arefyev, Alexander Shatilov, Denis Gordeev, Alexey Rey

ACNLP at SemEval-2020 Task 6: A Supervised Approach for Definition Extraction

Fabien Caspani, Pirashanth Ratnamogan, Mathis Linger, Mhamed Hajaiej

Yseop at SemEval-2020 Task 5: Cascaded BERT Language Model for Counterfactual Statement Analysis

Hanna Abi-Akl, Dominique Mariko, Estelle Labidurie

IITK-RSA at SemEval-2020 Task 5: Detecting Counterfactuals

Anirudh Anil Ojha, Rohin Garg, Shashank Gupta, Ashutosh Modi

CNRL at SemEval-2020 Task 5: Modelling Causal Reasoning in Language with Multi-Head Self-Attention Weights Based Counterfactual Detection

Rajaswa Patil, Veeky Baths

CLaC at SemEval-2020 Task 5: Muli-task Stacked Bi-LSTMs

MinGyou Sung, Parsa Bagherzadeh, Sabine Bergler

BUT-FIT at SemEval-2020 Task 5: Automatic Detection of Counterfactual Statements with Deep Pre-trained Language Representation Models

Martin Fajcik, Josef Jon, Martin Docekal, Pavel Smrz

UoR at SemEval-2020 Task 4: Pre-trained Sentence Transformer Models for Commonsense Validation and Explanation

Thanet Markchom, Bhuvana Dhruva, Chandresh Pravin, Huizhi Liang

SWAGex at SemEval-2020 Task 4: Commonsense Explanation as Next Event Prediction

Wiem Ben Rim, Naoaki Okazaki

QiaoNing at SemEval-2020 Task 4: Commonsense Validation and Explanation System Based on Ensemble of Language Model

Liu Pai

Masked Reasoner at SemEval-2020 Task 4: Fine-Tuning RoBERTa for Commonsense Reasoning

Daming Lu

ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation

Qian Zhao, Siyu Tao, Jie Zhou, Linlin Wang, Xin lin

CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning

Hongru Wang, Xiangru Tang, Sunny Lai, Kwong Sak Leung, Jia Zhu

BUT-FIT at SemEval-2020 Task 4: Multilingual Commonsense

Josef Jon, Martin Fajcik, Martin Docekal, Pavel Smrz

ANA at SemEval-2020 Task 4: MUlti-task learNIng for cOmmonsense reasoNing (UNION)

Anandh Konar, Chenyang Huang, Amine Trabelsi, Osmar Zaïane

Cardiff University at SemEval-2020 Task 6: Fine-tuning BERT for Domain-Specific Definition Classification

Shelan Jeawak, Luis Espinosa-Anke, Steven Schockaert

HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection

Xiao Ding, Dingkui Hao, Yuewei Zhang, Kuo Liao, Zhongyang Li

IIE-NLP-NUT at SemEval-2020 Task 4: Guiding PLM with Prompt Template Reconstruction Strategy for ComVE

Luxi Xing, Yuqiang Xie, Yue Hu, Wei Peng

SemEval-2020 Task 6: Definition Extraction from Free Text with the DEFT Corpus

Sasha Spala, Nicholas Miller, Franck Dernoncourt, Carl Dockhorn

SemEval-2020 Task 5: Counterfactual Recognition

Xiaoyu Yang, Stephen Obadinma, Huasha Zhao, Qiong Zhang, Stan Matwin

SemEval-2020 Task 4: Commonsense Validation and Explanation

Cunxiang Wang, Shuailong Liang, Yili Jin, Yilong Wang, Xiaodan Zhu

Will_Go at SemEval-2020 Task 3: An Accurate Model for Predicting the (Graded) Effect of Context in Word Similarity Based on BERT

Wei Bao, Hongshu Che, Jiandong Zhang

JUSTMasters at SemEval-2020 Task 3: Multilingual Deep Learning Model to Predict the Effect of Context in Word Similarity

Nour Al-khdour, Mutaz Bni Younes, Malak Abdullah, Mohammad AL-Smadi

Hitachi at SemEval-2020 Task 3: Exploring the Representation Spaces of Transformers for Human Sense Word Similarity

Terufumi Morishita, Gaku Morio, Hiroaki Ozaki, Toshinori Miyoshi

Ferryman at SemEval-2020 Task 3: Bert with TFIDF-Weighting for Predicting the Effect of Context in Word Similarity

Weilong Chen, Xin Yuan, Sai Zhang, Jiehui Wu, Yanru Zhang

CitiusNLP at SemEval-2020 Task 3: Comparing Two Approaches for Word Vector Contextualization

Pablo Gamallo

AlexU-AUX-BERT at SemEval-2020 Task 3: Improving BERT Contextual Similarity Using Multiple Auxiliary Contexts

Somaia Mahmoud, Marwan Torki

UAlberta at SemEval-2020 Task 2: Using Translations to Predict Cross-Lingual Entailment

Bradley Hauer, Amir Ahmad Habibi, Yixing Luan, Arnob Mallik, Grzegorz Kondrak

SHIKEBLCU at SemEval-2020 Task 2: An External Knowledge-enhanced Matrix for Multilingual and Cross-Lingual Lexical Entailment

Shike Wang, Yuchen Fan, Xiangying Luo, Dong Yu

UWB at SemEval-2020 Task 1: Lexical Semantic Change Detection

Ondřej Pražák, Pavel Přibáň, Stephen Taylor, Jakub Sido

UoB at SemEval-2020 Task 1: Automatic Identification of Novel Word Senses

Eleri Sarsfield, Harish Tayyar Madabushi

TUE at SemEval-2020 Task 1: Detecting Semantic Change by Clustering Contextual Word Embeddings

Anna Karnysheva, Pia Schwarz

TemporalTeller at SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection with Temporal Referencing

Jinan Zhou, Jiaxin Li

SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces

Vani Kanjirangat, Sandra Mitrović, Alessandro Antonucci, Fabio Rinaldi

GloVeInit at SemEval-2020 Task 1: Using GloVe Vector Initialization for Unsupervised Lexical Semantic Change Detection

Vaibhav Jain

EmbLexChange at SemEval-2020 Task 1: Unsupervised Embedding-based Detection of Lexical Semantic Changes

Ehsaneddin Asgari, Christoph Ringlstetter, Hinrich Schütze

DCC-Uchile at SemEval-2020 Task 1: Temporal Referencing Word Embeddings

Frank D. Zamora-Reina, Felipe Bravo-Marquez

CMCE at SemEval-2020 Task 1: Clustering on Manifolds of Contextualized Embeddings to Detect Historical Meaning Shifts

David Rother, Thomas Haider, Steffen Eger

CIRCE at SemEval-2020 Task 1: Ensembling Context-Free and Context-Dependent Word Representations

Martin Pömsl, Roman Lyapin

BOS at SemEval-2020 Task 1: Word Sense Induction via Lexical Substitution for Lexical Semantic Change Detection

Nikolay Arefyev, Vasily Zhikov

UZH at SemEval-2020 Task 3: Combining BERT with WordNet Sense Embeddings to Predict Graded Word Similarity Changes

Li Tang

MULTISEM at SemEval-2020 Task 3: Fine-tuning BERT for Lexical Meaning

Aina Garí Soler, Marianna Apidianaki

MineriaUNAM at SemEval-2020 Task 3: Predicting Contextual WordSimilarity Using a Centroid Based Approach and Word Embeddings

Helena Gómez-adorno, Gemma Bel-Enguix, Jorge Reyes-Magaña, Benjamín Moreno, Ramón Casillas

BRUMS at SemEval-2020 Task 3: Contextualised Embeddings for Predicting the (Graded) Effect of Context in Word Similarity

Hansi Hettiarachchi, Tharindu Ranasinghe

BMEAUT at SemEval-2020 Task 2: Lexical Entailment with Semantic Graphs

Adam Kovacs, Kinga Gémes, András Kornai, Gabor Recski

UiO-UvA at SemEval-2020 Task 1: Contextualised Embeddings for Lexical Semantic Change Detection

Andrey Kutuzov, Mario Giulianelli

The UCD-Net System at SemEval-2020 Task 1: Temporal Referencing with Semantic Network Distances

Paul Nulty, David Lillis

SenseCluster at SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection

Amaru Cuba Gyllensten, Evangelia Gogoulou, Ariel Ekgren, Magnus Sahlgren

SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic Change

Maurício Gruppi, Sibel Adali, Pin-Yu Chen

RIJP at SemEval-2020 Task 1: Gaussian-based Embeddings for Semantic Change Detection

Ran Iwamoto, Masahiro Yukawa

JCT at SemEval-2020 Task 1: Combined Semantic Vector Spaces Models for Unsupervised Lexical Semantic Change Detection

Efrat Amar, Chaya Liebeskind

IMS at SemEval-2020 Task 1: How Low Can You Go? Dimensionality in Lexical Semantic Change Detection

Jens Kaiser, Dominik Schlechtweg, Sean Papay, Sabine Schulte im Walde

GM-CTSC at SemEval-2020 Task 1: Gaussian Mixtures Cross Temporal Similarity Clustering

Pierluigi Cassotti, Annalina Caputo, Marco Polignano, Pierpaolo Basile

Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings Not Always Better than Static for Semantic Change Detection

Matej Martinc, Syrielle Montariol, Elaine Zosa, Lidia Pivovarova

BabelEnconding at SemEval-2020 Task 3: Contextual Similarity as a Combination of Multilingualism and Language Models

Lucas Rafael Costella Pessutto, Tiago de Melo, Viviane P. Moreira, Altigran da Silva

DiaSense at SemEval-2020 Task 1: Modeling Sense Change via Pre-trained BERT Embeddings

Christin Beck

SemEval-2020 Task 3: Graded Word Similarity in Context

Carlos Santos Armendariz, Matthew Purver, Senja Pollak, Nikola Ljubešić, Matej Ulčar

SemEval-2020 Task 2: Predicting Multilingual and Cross-Lingual (Graded) Lexical Entailment

Goran Glavaš, Ivan Vulić, Anna Korhonen, Simone Paolo Ponzetto

SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection

Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, Haim Dubossarsky, Nina Tahmasebi