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SemEval 2018: all papers in our library

27 works · the most cited first · ← SemEval 2018

  1. SemEval-2018 Task 1: Affect in TweetsInternational Workshop on Semantic Evaluation (SemEval)Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, et al.2018 · 1,094 citations
  2. SemEval-2018 Task 3: Irony Detection in English TweetsInternational Workshop on Semantic Evaluation (SemEval)Cynthia Van Hee, Els Lefever, Véronique Hoste2018 · 467 citations
  3. SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific PapersInternational Workshop on Semantic Evaluation (SemEval)Kata Gábor, Davide Buscaldi, Anne-Kathrin Schumann, et al.2018 · 216 citations
  4. SemEval 2018 Task 2: Multilingual Emoji PredictionInternational Workshop on Semantic Evaluation (SemEval)Francesco Barbieri, Jose Camacho-Collados, Francesco Ronzano, et al.2018 · 204 citations
  5. NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNsInternational Workshop on Semantic Evaluation (SemEval)Christos Baziotis, Athanasiou Nikolaos, Pinelopi Papalampidi, et al.2018 · 74 citations
  6. WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of IronyInternational Workshop on Semantic Evaluation (SemEval)Omid Rohanian, Shiva Taslimipoor, Richard Evans, et al.2018 · 39 citations
  7. ELiRF-UPV at SemEval-2018 Tasks 1 and 3: Affect and Irony Detection in TweetsInternational Workshop on Semantic Evaluation (SemEval)José-Ángel González, Lluís-F. Hurtado, Ferran Pla2018 · 29 citations
  8. NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in TwitterInternational Workshop on Semantic Evaluation (SemEval)Thanh Vu, Dat Quoc Nguyen, Xuan-Son Vu, et al.2018 · 29 citations
  9. IronyMagnet at SemEval-2018 Task 3: A Siamese network for Irony detection in Social mediaInternational Workshop on Semantic Evaluation (SemEval)Aniruddha Ghosh, Tony Veale2018 · 28 citations
  10. NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in TweetsInternational Workshop on Semantic Evaluation (SemEval)Harsh Rangwani, Devang Kulshreshtha, Anil Kumar Singh2018 · 28 citations
  11. Irony Detector at SemEval-2018 Task 3: Irony Detection in English Tweets using Word GraphInternational Workshop on Semantic Evaluation (SemEval)Usman Ahmed, Lubna Zafar, Faiza Qayyum, et al.2018 · 17 citations
  12. #NonDicevoSulSerio at SemEval-2018 Task 3: Exploiting Emojis and Affective Content for Irony Detection in English TweetsInternational Workshop on Semantic Evaluation (SemEval)Endang Wahyu Pamungkas, Viviana Patti2018 · 14 citations
  13. YNU-HPCC at SemEval-2018 Task 3: Ensemble Neural Network Models for Irony Detection on TwitterInternational Workshop on Semantic Evaluation (SemEval)Bo Peng, Jin Wang, Xuejie Zhang2018 · 14 citations
  14. ValenTO at SemEval-2018 Task 3: Exploring the Role of Affective Content for Detecting Irony in English TweetsInternational Workshop on Semantic Evaluation (SemEval)Delia Irazú Hernández Farías, Viviana Patti, Paolo Rosso2018 · 13 citations
  15. THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTMInternational Workshop on Semantic Evaluation (SemEval)Chuhan Wu, Fangzhao Wu, Junxin Liu, et al.2018 · 10 citations
  16. Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detectionInternational Workshop on Semantic Evaluation (SemEval)Nishant Nikhil, Muktabh Mayank Srivastava2018 · 7 citations
  17. ALANIS at SemEval-2018 Task 3: A Feature Engineering Approach to Irony Detection in English TweetsInternational Workshop on Semantic Evaluation (SemEval)Kevin Swanberg, Madiha Mirza, Ted Pedersen, et al.2018 · 4 citations
  18. HashCount at SemEval-2018 Task 3: Concatenative Featurization of Tweet and Hashtags for Irony DetectionInternational Workshop on Semantic Evaluation (SemEval)Won Ik Cho, Woo Hyun Kang, Nam Soo Kim2018 · 3 citations
  19. INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in TwitterInternational Workshop on Semantic Evaluation (SemEval)Delia Irazú Hernández Farías, Fernando Sánchez-Vega, Manuel Montes-y-Gómez, et al.2018 · 3 citations
  20. IIIDYT at SemEval-2018 Task 3: Irony detection in English tweetsInternational Workshop on Semantic Evaluation (SemEval)Edison Marrese-Taylor, Suzana Ilic, Jorge Balazs, et al.2018 · 3 citations
  21. LDR at SemEval-2018 Task 3: A Low Dimensional Text Representation for Irony DetectionInternational Workshop on Semantic Evaluation (SemEval)Bilal Ghanem, Francisco Rangel, Paolo Rosso2018 · 2 citations
  22. Random Decision Syntax Trees at SemEval-2018 Task 3: LSTMs and Sentiment Scores for Irony DetectionInternational Workshop on Semantic Evaluation (SemEval)Aidan San2018 · 2 citations
  23. Lancaster at SemEval-2018 Task 3: Investigating Ironic Features in English TweetsInternational Workshop on Semantic Evaluation (SemEval)Edward Dearden, Alistair Baron2018 · 1 citation
  24. KLUEnicorn at SemEval-2018 Task 3: A Naive Approach to Irony DetectionInternational Workshop on Semantic Evaluation (SemEval)Luise Dürlich2018 · 1 citation
  25. PunFields at SemEval-2018 Task 3: Detecting Irony by Tools of Humor AnalysisInternational Workshop on Semantic Evaluation (SemEval)Elena Mikhalkova, Yuri Karyakin, Alexander Voronov, et al.2018 · 1 citation
  26. CTSys at SemEval-2018 Task 3: Irony in TweetsInternational Workshop on Semantic Evaluation (SemEval)Myan Sherif, Sherine Mamdouh, Wegdan Ghazi2018
  27. ECNU at SemEval-2018 Task 3: Exploration on Irony Detection from Tweets via Machine Learning and Deep Learning MethodsInternational Workshop on Semantic Evaluation (SemEval)Zhenghang Yin, Feixiang Wang, Man Lan, et al.2018

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