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Papers

224,410 papers found · incl. 25,406 awaiting a processed abstract Focus on papers with abstracts
Clark Kent at SemEval-2019 Task 4: Stylometric Insights into Hyperpartisan News Detection
Viresh Gupta, Baani Leen Kaur Jolly, Ramneek Kaur et al.
2019 SemEval
Cardiff University at SemEval-2019 Task 4: Linguistic Features for Hyperpartisan News Detection
Carla Pérez-Almendros, Luis Espinosa-Anke, Steven Schockaert
2019 SemEval
Brenda Starr at SemEval-2019 Task 4: Hyperpartisan News Detection
Olga Papadopoulou, Giorgos Kordopatis-Zilos, Markos Zampoglou et al.
2019 SemEval
DM_NLP at SemEval-2018 Task 12: A Pipeline System for Toponym Resolution
Xiaobin Wang, Chunping Ma, Huafei Zheng et al.
2019 SemEval
SemEval-2019 Task 12: Toponym Resolution in Scientific Papers
Davy Weissenbacher, Arjun Magge, Karen O’Connor et al.
2019 SemEval
AiFu at SemEval-2019 Task 10: A Symbolic and Sub-symbolic Integrated System for SAT Math Question Answering
Yifan Liu, Keyu Ding, Yi Zhou
2019 SemEval
SemEval-2019 Task 10: Math Question Answering
Mark Hopkins, Ronan Le Bras, Cristian Petrescu-Prahova et al.
2019 SemEval
m_y at SemEval-2019 Task 9: Exploring BERT for Suggestion Mining
Masahiro Yamamoto, Toshiyuki Sekiya
2019 SemEval
SemEval-2019 Task 9: Suggestion Mining from Online Reviews and Forums
Sapna Negi, Tobias Daudert, Paul Buitelaar
2019 SemEval
AUTOHOME-ORCA at SemEval-2019 Task 8: Application of BERT for Fact-Checking in Community Forums
Zhengwei Lv, Duoxing Liu, Haifeng Sun et al.
2019 SemEval
SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums
Tsvetomila Mihaylova, Georgi Karadzhov, Pepa Atanasova et al.
2019 SemEval
eventAI at SemEval-2019 Task 7: Rumor Detection on Social Media by Exploiting Content, User Credibility and Propagation Information
Quanzhi Li, Qiong Zhang, Luo Si
2019 SemEval
SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours
Genevieve Gorrell, Elena Kochkina, Maria Liakata et al.
2019 SemEval
Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network
Ye Jiang, Johann Petrak, Xingyi Song et al.
2019 SemEval
SemEval-2019 Task 4: Hyperpartisan News Detection
Johannes Kiesel, Maria Mestre, Rishabh Shukla et al.
2019 SemEval
Zeyad at SemEval-2019 Task 6: That’s Offensive! An All-Out Search For An Ensemble To Identify And Categorize Offense in Tweets.
Zeyad El-Zanaty
2019 SemEval
YNUWB at SemEval-2019 Task 6: K-max pooling CNN with average meta-embedding for identifying offensive language
Bin Wang, Xiaobing Zhou, Xuejie Zhang
2019 SemEval
YNU-HPCC at SemEval-2019 Task 6: Identifying and Categorising Offensive Language on Twitter
Chengjin Zhou, Jin Wang, Xuejie Zhang
2019 SemEval
UVA Wahoos at SemEval-2019 Task 6: Hate Speech Identification using Ensemble Machine Learning
Murugesan Ramakrishnan, Wlodek Zadrozny, Narges Tabari
2019 SemEval
UTFPR at SemEval-2019 Task 6: Relying on Compositionality to Find Offense
Gustavo Henrique Paetzold
2019 SemEval
USF at SemEval-2019 Task 6: Offensive Language Detection Using LSTM With Word Embeddings
Bharti Goel, Ravi Sharma
2019 SemEval
UM-IU@LING at SemEval-2019 Task 6: Identifying Offensive Tweets Using BERT and SVMs
Jian Zhu, Zuoyu Tian, Sandra Kübler
2019 SemEval
UHH-LT at SemEval-2019 Task 6: Supervised vs. Unsupervised Transfer Learning for Offensive Language Detection
Gregor Wiedemann, Eugen Ruppert, Chris Biemann
2019 SemEval
UBC-NLP at SemEval-2019 Task 6: Ensemble Learning of Offensive Content With Enhanced Training Data
Arun Rajendran, Chiyu Zhang, Muhammad Abdul-Mageed
2019 SemEval
TUVD team at SemEval-2019 Task 6: Offense Target Identification
Elena Shushkevich, John Cardiff, Paolo Rosso
2019 SemEval