SemEval 2019: all accepted papers
- YNUWB at SemEval-2019 Task 6: K-max pooling CNN with average meta-embedding for identifying offensive language ↗Bin Wang, Xiaobing Zhou, Xuejie Zhang8 citations
- HHU at SemEval-2019 Task 6: Context Does Matter - Tackling Offensive Language Identification and Categorization with ELMo ↗Alexander Oberstrass, Julia Romberg, Anke Stoll et al.7 citations
- INGEOTEC at SemEval-2019 Task 5 and Task 6: A Genetic Programming Approach for Text Classification ↗Mario Graff, Sabino Miranda-Jiménez, Eric Tellez et al.7 citations
- ParallelDots at SemEval-2019 Task 3: Domain Adaptation with feature embeddings for Contextual Emotion Analysis ↗Akansha Jain, Ishita Aggarwal, Ankit Singh7 citations
- Pardeep at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media using Deep Learning ↗Pardeep Singh, Satish Chand7 citations
- SINAI-DL at SemEval-2019 Task 5: Recurrent networks and data augmentation by paraphrasing ↗Arturo Montejo-Ráez, Salud María Jiménez-Zafra, Miguel A. García-Cumbreras et al.7 citations
- DBMS-KU at SemEval-2019 Task 9: Exploring Machine Learning Approaches in Classifying Text as Suggestion or Non-Suggestion ↗Tirana Fatyanosa, Al Hafiz Akbar Maulana Siagian, Masayoshi Aritsugi6 citations
- EPITA-ADAPT at SemEval-2019 Task 3: Detecting emotions in textual conversations using deep learning models combination ↗Abdessalam Bouchekif, Praveen Joshi, Latifa Bouchekif et al.6 citations
- LIRMM-Advanse at SemEval-2019 Task 3: Attentive Conversation Modeling for Emotion Detection and Classification ↗Waleed Ragheb, Jérôme Azé, Sandra Bringay et al.6 citations
- MIDAS at SemEval-2019 Task 9: Suggestion Mining from Online Reviews using ULMFit ↗Sarthak Anand, Debanjan Mahata, Kartik Aggarwal et al.6 citations
- NLP@UIT at SemEval-2019 Task 4: The Paparazzo Hyperpartisan News Detector ↗Duc-Vu Nguyen, Thin Dang, Ngan Luu-Thuy Nguyen6 citations
- SSN-SPARKS at SemEval-2019 Task 9: Mining Suggestions from Online Reviews using Deep Learning Techniques on Augmented Data ↗Rajalakshmi S, Angel Deborah S, S Milton Rajendram et al.6 citations
- Spider-Jerusalem at SemEval-2019 Task 4: Hyperpartisan News Detection ↗Amal Alabdulkarim, Tariq Alhindi6 citations
- Team Jack Ryder at SemEval-2019 Task 4: Using BERT Representations for Detecting Hyperpartisan News ↗Daniel Shaprin, Giovanni Da San Martino, Alberto Barrón-Cedeño et al.6 citations
- Team Peter Brinkmann at SemEval-2019 Task 4: Detecting Biased News Articles Using Convolutional Neural Networks ↗Michael Färber, Agon Qurdina, Lule Ahmedi6 citations
- UNBNLP at SemEval-2019 Task 5 and 6: Using Language Models to Detect Hate Speech and Offensive Language ↗Ali Hakimi Parizi, Milton King, Paul Cook6 citations
- YNU-HPCC at SemEval-2019 Task 9: Using a BERT and CNN-BiLSTM-GRU Model for Suggestion Mining ↗Ping Yue, Jin Wang, Xuejie Zhang6 citations
- YNU_DYX at SemEval-2019 Task 9: A Stacked BiLSTM for Suggestion Mining Classification ↗Yunxia Ding, Xiaobing Zhou, Xuejie Zhang6 citations
- ZQM at SemEval-2019 Task9: A Single Layer CNN Based on Pre-trained Model for Suggestion Mining ↗Qimin Zhou, Zhengxin Zhang, Hao Wu et al.6 citations
- AUTOHOME-ORCA at SemEval-2019 Task 8: Application of BERT for Fact-Checking in Community Forums ↗Zhengwei Lv, Duoxing Liu, Haifeng Sun et al.5 citations
- AndrejJan at SemEval-2019 Task 7: A Fusion Approach for Exploring the Key Factors pertaining to Rumour Analysis ↗Andrej Janchevski, Sonja Gievska5 citations
- CN-HIT-MI.T at SemEval-2019 Task 6: Offensive Language Identification Based on BiLSTM with Double Attention ↗Yaojie Zhang, Bing Xu, Tiejun Zhao5 citations
- Clark Kent at SemEval-2019 Task 4: Stylometric Insights into Hyperpartisan News Detection ↗Viresh Gupta, Baani Leen Kaur Jolly, Ramneek Kaur et al.5 citations
- DeepAnalyzer at SemEval-2019 Task 6: A deep learning-based ensemble method for identifying offensive tweets ↗Gretel Liz De la Peña, Paolo Rosso5 citations
- Dick-Preston and Morbo at SemEval-2019 Task 4: Transfer Learning for Hyperpartisan News Detection ↗Tim Isbister, Fredrik Johansson5 citations
- ELiRF-UPV at SemEval-2019 Task 3: Snapshot Ensemble of Hierarchical Convolutional Neural Networks for Contextual Emotion Detection ↗José-Ángel González, Lluís-F. Hurtado, Ferran Pla5 citations
- GCN-Sem at SemEval-2019 Task 1: Semantic Parsing using Graph Convolutional and Recurrent Neural Networks ↗Shiva Taslimipoor, Omid Rohanian, Sara Može5 citations
- HAD-Tübingen at SemEval-2019 Task 6: Deep Learning Analysis of Offensive Language on Twitter: Identification and Categorization ↗Himanshu Bansal, Daniel Nagel, Anita Soloveva5 citations
- Harvey Mudd College at SemEval-2019 Task 4: The D.X. Beaumont Hyperpartisan News Detector ↗Evan Amason, Jake Palanker, Mary Clare Shen et al.5 citations
- Hybrid RNN at SemEval-2019 Task 9: Blending Information Sources for Domain-Independent Suggestion Mining ↗Aysu Ezen-Can, Ethem F. Can5 citations
- NIT_Agartala_NLP_Team at SemEval-2019 Task 6: An Ensemble Approach to Identifying and Categorizing Offensive Language in Twitter Social Media Corpora ↗Steve Durairaj Swamy, Anupam Jamatia, Björn Gambäck et al.5 citations
- The binary trio at SemEval-2019 Task 5: Multitarget Hate Speech Detection in Tweets ↗Patricia Chiril, Farah Benamara Zitoune, Véronique Moriceau et al.5 citations
- Tom Jumbo-Grumbo at SemEval-2019 Task 4: Hyperpartisan News Detection with GloVe vectors and SVM ↗Chia-Lun Yeh, Babak Loni, Anne Schuth5 citations
- USF at SemEval-2019 Task 6: Offensive Language Detection Using LSTM With Word Embeddings ↗Bharti Goel, Ravi Sharma5 citations
- Vista.ue at SemEval-2019 Task 5: Single Multilingual Hate Speech Detection Model ↗Kashyap Raiyani, Teresa Gonçalves, Paulo Quaresma et al.5 citations
- m_y at SemEval-2019 Task 9: Exploring BERT for Suggestion Mining ↗Masahiro Yamamoto, Toshiyuki Sekiya5 citations
- CLaC Lab at SemEval-2019 Task 3: Contextual Emotion Detection Using a Combination of Neural Networks and SVM ↗Elham Mohammadi, Hessam Amini, Leila Kosseim4 citations
- Cardiff University at SemEval-2019 Task 4: Linguistic Features for Hyperpartisan News Detection ↗Carla Pérez-Almendros, Luis Espinosa-Anke, Steven Schockaert4 citations
- Grunn2019 at SemEval-2019 Task 5: Shared Task on Multilingual Detection of Hate ↗Mike Zhang, Roy David, Leon Graumans et al.4 citations
- HATERecognizer at SemEval-2019 Task 5: Using Features and Neural Networks to Face Hate Recognition ↗Victor Nina-Alcocer4 citations
- Harvey Mudd College at SemEval-2019 Task 4: The Carl Kolchak Hyperpartisan News Detector ↗Celena Chen, Celine Park, Jason Dwyer et al.4 citations
- Hope at SemEval-2019 Task 6: Mining social media language to discover offensive language ↗Gabriel Florentin Patras, Diana Florina Lungu, Daniela Gifu et al.4 citations
- INRIA at SemEval-2019 Task 9: Suggestion Mining Using SVM with Handcrafted Features ↗Ilia Markov, Eric Villemonte de la Clergerie4 citations
- KSU at SemEval-2019 Task 3: Hybrid Features for Emotion Recognition in Textual Conversation ↗Nourah Alswaidan, Mohamed El Bachir Menai4 citations
- Rouletabille at SemEval-2019 Task 4: Neural Network Baseline for Identification of Hyperpartisan Publishers ↗Jose G. Moreno, Yoann Pitarch, Karen Pinel-Sauvagnat et al.4 citations
- Steve Martin at SemEval-2019 Task 4: Ensemble Learning Model for Detecting Hyperpartisan News ↗Youngjun Joo, Inchon Hwang4 citations
- THU_NGN at SemEval-2019 Task 12: Toponym Detection and Disambiguation on Scientific Papers ↗Tao Qi, Suyu Ge, Chuhan Wu et al.4 citations
- Team Harry Friberg at SemEval-2019 Task 4: Identifying Hyperpartisan News through Editorially Defined Metatopics ↗Nazanin Afsarmanesh, Jussi Karlgren, Peter Sumbler et al.4 citations
- Team Ned Leeds at SemEval-2019 Task 4: Exploring Language Indicators of Hyperpartisan Reporting ↗Bozhidar Stevanoski, Sonja Gievska4 citations
- Team Taurus at SemEval-2019 Task 9: Expert-informed pattern recognition for suggestion mining ↗Nelleke Oostdijk, Hans van Halteren4 citations
- Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks ↗Albin Zehe, Lena Hettinger, Stefan Ernst et al.4 citations
- TuEval at SemEval-2019 Task 5: LSTM Approach to Hate Speech Detection in English and Spanish ↗Mihai Manolescu, Denise Löfflad, Adham Nasser Mohamed Saber et al.4 citations
- Tw-StAR at SemEval-2019 Task 5: N-gram embeddings for Hate Speech Detection in Multilingual Tweets ↗Hala Mulki, Chedi Bechikh Ali, Hatem Haddad et al.4 citations
- Tüpa at SemEval-2019 Task1: (Almost) feature-free Semantic Parsing ↗Tobias Pütz, Kevin Glocker4 citations
- UBC-NLP at SemEval-2019 Task 4: Hyperpartisan News Detection With Attention-Based Bi-LSTMs ↗Chiyu Zhang, Arun Rajendran, Muhammad Abdul-Mageed4 citations
- UBC-NLP at SemEval-2019 Task 6: Ensemble Learning of Offensive Content With Enhanced Training Data ↗Arun Rajendran, Chiyu Zhang, Muhammad Abdul-Mageed4 citations
- WUT at SemEval-2019 Task 9: Domain-Adversarial Neural Networks for Domain Adaptation in Suggestion Mining ↗Mateusz Klimaszewski, Piotr Andruszkiewicz4 citations
- YNU-HPCC at SemEval-2019 Task 6: Identifying and Categorising Offensive Language on Twitter ↗Chengjin Zhou, Jin Wang, Xuejie Zhang4 citations
- YUN-HPCC at SemEval-2019 Task 3: Multi-Step Ensemble Neural Network for Sentiment Analysis in Textual Conversation ↗Dawei Li, Jin Wang, Xuejie Zhang4 citations
- Yimmon at SemEval-2019 Task 9: Suggestion Mining with Hybrid Augmented Approaches ↗Yimeng Zhuang4 citations
- Zoho at SemEval-2019 Task 9: Semi-supervised Domain Adaptation using Tri-training for Suggestion Mining ↗Sai Prasanna, Sri Ananda Seelan4 citations
- Brenda Starr at SemEval-2019 Task 4: Hyperpartisan News Detection ↗Olga Papadopoulou, Giorgos Kordopatis-Zilos, Markos Zampoglou et al.3 citations
- CLARK at SemEval-2019 Task 3: Exploring the Role of Context to Identify Emotion in a Short Conversation ↗Joseph Cummings, Jason Wilson3 citations
- CoAStaL at SemEval-2019 Task 3: Affect Classification in Dialogue using Attentive BiLSTMs ↗Ana Valeria González, Victor Petrén Bach Hansen, Joachim Bingel et al.3 citations
- Columbia at SemEval-2019 Task 7: Multi-task Learning for Stance Classification and Rumour Verification ↗Zhuoran Liu, Shivali Goel, Mukund Yelahanka Raghuprasad et al.3 citations
- ColumbiaNLP at SemEval-2019 Task 8: The Answer is Language Model Fine-tuning ↗Tuhin Chakrabarty, Smaranda Muresan3 citations
- DOMLIN at SemEval-2019 Task 8: Automated Fact Checking exploiting Ratings in Community Question Answering Forums ↗Dominik Stammbach, Stalin Varanasi, Guenter Neumann3 citations
- Duluth at SemEval-2019 Task 4: The Pioquinto Manterola Hyperpartisan News Detector ↗Saptarshi Sengupta, Ted Pedersen3 citations
- EMOMINER at SemEval-2019 Task 3: A Stacked BiLSTM Architecture for Contextual Emotion Detection in Text ↗Nikhil Chakravartula, Vijayasaradhi Indurthi3 citations
- JCTICOL at SemEval-2019 Task 6: Classifying Offensive Language in Social Media using Deep Learning Methods, Word/Character N-gram Features, and Preprocessing Methods ↗Yaakov HaCohen-Kerner, Ziv Ben-David, Gal Didi et al.3 citations
- JTML at SemEval-2019 Task 6: Offensive Tweets Identification using Convolutional Neural Networks ↗Johnny Torres, Carmen Vaca3 citations
- JU_ETCE_17_21 at SemEval-2019 Task 6: Efficient Machine Learning and Neural Network Approaches for Identifying and Categorizing Offensive Language in Tweets ↗Preeti Mukherjee, Mainak Pal, Somnath Banerjee et al.3 citations
- MILAB at SemEval-2019 Task 3: Multi-View Turn-by-Turn Model for Context-Aware Sentiment Analysis ↗Yoonhyung Lee, Yanghoon Kim, Kyomin Jung3 citations
- MaskParse@Deskin at SemEval-2019 Task 1: Cross-lingual UCCA Semantic Parsing using Recursive Masked Sequence Tagging ↗Gabriel Marzinotto, Johannes Heinecke, Géraldine Damnati3 citations
- NLP at SemEval-2019 Task 6: Detecting Offensive language using Neural Networks ↗Prashant Kapil, Asif Ekbal, Dipankar Das3 citations
- Orwellian-times at SemEval-2019 Task 4: A Stylistic and Content-based Classifier ↗Jürgen Knauth3 citations
- ProblemSolver at SemEval-2019 Task 10: Sequence-to-Sequence Learning and Expression Trees ↗Xuefeng Luo, Alina Baranova, Jonas Biegert3 citations
- SINAI at SemEval-2019 Task 3: Using affective features for emotion classification in textual conversations ↗Flor Miriam Plaza-del-Arco, M. Dolores Molina-González, Maite Martin et al.3 citations
- SINAI-DL at SemEval-2019 Task 7: Data Augmentation and Temporal Expressions ↗Miguel A. García-Cumbreras, Salud María Jiménez-Zafra, Arturo Montejo-Ráez et al.3 citations
- SSN_NLP at SemEval-2019 Task 6: Offensive Language Identification in Social Media using Traditional and Deep Machine Learning Approaches ↗Thenmozhi D., Senthil Kumar B., Srinethe Sharavanan et al.3 citations
- Team Howard Beale at SemEval-2019 Task 4: Hyperpartisan News Detection with BERT ↗Osman Mutlu, Ozan Arkan Can, Erenay Dayanik3 citations
- Team Kermit-the-frog at SemEval-2019 Task 4: Bias Detection Through Sentiment Analysis and Simple Linguistic Features ↗Talita Anthonio, Lennart Kloppenburg3 citations
- Team Peter-Parker at SemEval-2019 Task 4: BERT-Based Method in Hyperpartisan News Detection ↗Zhiyuan Ning, Yuanzhen Lin, Ruichao Zhong3 citations
- UNH at SemEval-2019 Task 12: Toponym Resolution in Scientific Papers ↗Matthew Magnusson, Laura Dietz3 citations
- bhanodaig at SemEval-2019 Task 6: Categorizing Offensive Language in social media ↗Ritesh Kumar, Guggilla Bhanodai, Rajendra Pamula et al.3 citations
- ltl.uni-due at SemEval-2019 Task 5: Simple but Effective Lexico-Semantic Features for Detecting Hate Speech in Twitter ↗Huangpan Zhang, Michael Wojatzki, Tobias Horsmann et al.3 citations
- AiFu at SemEval-2019 Task 10: A Symbolic and Sub-symbolic Integrated System for SAT Math Question Answering ↗Yifan Liu, Keyu Ding, Yi Zhou2 citations
- CodeForTheChange at SemEval-2019 Task 8: Skip-Thoughts for Fact Checking in Community Question Answering ↗Adithya Avvaru, Anupam Pandey2 citations
- Fermi at SemEval-2019 Task 4: The sarah-jane-smith Hyperpartisan News Detector ↗Nikhil Chakravartula, Vijayasaradhi Indurthi, Bakhtiyar Syed2 citations
- Fermi at SemEval-2019 Task 8: An elementary but effective approach to Question Discernment in Community QA Forums ↗Bakhtiyar Syed, Vijayasaradhi Indurthi, Manish Shrivastava et al.2 citations
- Harvey Mudd College at SemEval-2019 Task 4: The Clint Buchanan Hyperpartisan News Detector ↗Mehdi Drissi, Pedro Sandoval Segura, Vivaswat Ojha et al.2 citations
- IIT Gandhinagar at SemEval-2019 Task 3: Contextual Emotion Detection Using Deep Learning ↗Arik Pamnani, Rajat Goel, Jayesh Choudhari et al.2 citations
- JCTDHS at SemEval-2019 Task 5: Detection of Hate Speech in Tweets using Deep Learning Methods, Character N-gram Features, and Preprocessing Methods ↗Yaakov HaCohen-Kerner, Elyashiv Shayovitz, Shalom Rochman et al.2 citations
This page in Markdown → https://md.research.elamur.ai/free/en/venues/semeval/2019/papers/page/2/