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SemEval 2019: all accepted papers

232 papers · page 3 of 3 · the most cited first · ← SemEval 2019

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  1. Lijunyi at SemEval-2019 Task 9: An attention-based LSTM and ensemble of different models for suggestion mining from online reviews and forums ↗Junyi Li2 citations
  2. MoonGrad at SemEval-2019 Task 3: Ensemble BiRNNs for Contextual Emotion Detection in Dialogues ↗Chandrakant Bothe, Stefan Wermter2 citations
  3. SSN_NLP at SemEval-2019 Task 3: Contextual Emotion Identification from Textual Conversation using Seq2Seq Deep Neural Network ↗Senthil Kumar B., Thenmozhi D., Aravindan Chandrabose et al.2 citations
  4. SWAP at SemEval-2019 Task 3: Emotion detection in conversations through Tweets, CNN and LSTM deep neural networks ↗Marco Polignano, Marco de Gemmis, Giovanni Semeraro2 citations
  5. TUVD team at SemEval-2019 Task 6: Offense Target Identification ↗Elena Shushkevich, John Cardiff, Paolo Rosso2 citations
  6. Team Kit Kittredge at SemEval-2019 Task 4: LSTM Voting System ↗Rebekah Cramerus, Tatjana Scheffler2 citations
  7. UTFPR at SemEval-2019 Task 6: Relying on Compositionality to Find Offense ↗Gustavo Henrique Paetzold2 citations
  8. 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-Zanaty2 citations
  9. BLCU_NLP at SemEval-2019 Task 8: A Contextual Knowledge-enhanced GPT Model for Fact Checking ↗Wanying Xie, Mengxi Que, Ruoyao Yang et al.1 citation
  10. BrainEE at SemEval-2019 Task 3: Ensembling Linear Classifiers for Emotion Prediction ↗Vachagan Gratian1 citation
  11. CLP at SemEval-2019 Task 3: Multi-Encoder in Hierarchical Attention Networks for Contextual Emotion Detection ↗Changjie Li, Yun Xing1 citation
  12. CX-ST-RNM at SemEval-2019 Task 3: Fusion of Recurrent Neural Networks Based on Contextualized and Static Word Representations for Contextual Emotion Detection ↗Michał Perełkiewicz1 citation
  13. DUTH at SemEval-2019 Task 8: Part-Of-Speech Features for Question Classification ↗Anastasios Bairaktaris, Symeon Symeonidis, Avi Arampatzis1 citation
  14. GWU NLP Lab at SemEval-2019 Task 3 : EmoContext: Effectiveness ofContextual Information in Models for Emotion Detection inSentence-level at Multi-genre Corpus ↗Shabnam Tafreshi, Mona Diab1 citation
  15. NTUA-ISLab at SemEval-2019 Task 3: Determining emotions in contextual conversations with deep learning ↗Rolandos Alexandros Potamias, Georgios Siolas1 citation
  16. RGCL-WLV at SemEval-2019 Task 12: Toponym Detection ↗Alistair Plum, Tharindu Ranasinghe, Pablo Calleja et al.1 citation
  17. TokyoTech_NLP at SemEval-2019 Task 3: Emotion-related Symbols in Emotion Detection ↗Zhishen Yang, Sam Vijlbrief, Naoaki Okazaki1 citation
  18. TueFact at SemEval 2019 Task 8: Fact checking in community question answering forums: context matters ↗Réka Juhász, Franziska Barbara Linnenschmidt, Teslin Roys1 citation
  19. TüKaSt at SemEval-2019 Task 6: Something Old, Something Neu(ral): Traditional and Neural Approaches to Offensive Text Classification ↗Madeeswaran Kannan, Lukas Stein1 citation
  20. UAIC at SemEval-2019 Task 3: Extracting Much from Little ↗Cristian Simionescu, Ingrid Stoleru, Diana Lucaci et al.1 citation
  21. ConSSED at SemEval-2019 Task 3: Configurable Semantic and Sentiment Emotion Detector ↗Rafał Poświata
  22. GL at SemEval-2019 Task 5: Identifying hateful tweets with a deep learning approach. ↗Gretel Liz De la Peña
  23. GenSMT at SemEval-2019 Task 3: Contextual Emotion Detection in tweets using multi task generic approach ↗Dumitru Bogdan
  24. KGPChamps at SemEval-2019 Task 3: A deep learning approach to detect emotions in the dialog utterances. ↗Jasabanta Patro, Nitin Choudhary, Kalpit Chittora et al.
  25. NL-FIIT at SemEval-2019 Task 3: Emotion Detection From Conversational Triplets Using Hierarchical Encoders ↗Michal Farkas, Peter Lacko
  26. NLP@UIOWA at SemEval-2019 Task 6: Classifying the Crass using Multi-windowed CNNs ↗Jonathan Rusert, Padmini Srinivasan
  27. Podlab at SemEval-2019 Task 3: The Importance of Being Shallow ↗Andrew Nguyen, Tobin South, Nigel Bean et al.
  28. Sentim at SemEval-2019 Task 3: Convolutional Neural Networks For Sentiment in Conversations ↗Jacob Anderson
  29. SolomonLab at SemEval-2019 Task 8: Question Factuality and Answer Veracity Prediction in Community Forums ↗Ankita Gupta, Sudeep Kumar Sahoo, Divya Prakash et al.
  30. TDBot at SemEval-2019 Task 3: Context Aware Emotion Detection Using A Conditioned Classification Approach ↗Sourabh Maity
  31. TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums ↗Piotr Niewiński, Aleksander Wawer, Maria Pszona et al.
  32. YNU-HPCC at SemEval-2019 Task 8: Using A LSTM-Attention Model for Fact-Checking in Community Forums ↗Peng Liu, Jin Wang, Xuejie Zhang

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