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SemEval 2018: all accepted papers

194 papers · page 1 of 2 · the most cited first · ← SemEval 2018

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  1. SemEval-2018 Task 1: Affect in TweetsSaif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh et al.744 citations · our summary
  2. SemEval-2018 Task 3: Irony Detection in English TweetsCynthia Van Hee, Els Lefever, Véronique Hoste292 citations · our summary
  3. SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific PapersKata Gábor, Davide Buscaldi, Anne-Kathrin Schumann et al.147 citations · our summary
  4. SemEval 2018 Task 2: Multilingual Emoji PredictionFrancesco Barbieri, Jose Camacho-Collados, Francesco Ronzano et al.141 citations · our summary
  5. NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer LearningChristos Baziotis, Athanasiou Nikolaos, Alexandra Chronopoulou et al.139 citations
  6. SemEval-2018 Task 11: Machine Comprehension Using Commonsense KnowledgeSimon Ostermann, Michael Roth, Ashutosh Modi et al.114 citations
  7. Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine ComprehensionLiang Wang, Meng Sun, Wei Zhao et al.81 citations
  8. THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task LearningChuhan Wu, Fangzhao Wu, Sixing Wu et al.80 citations
  9. SemEval-2018 Task 9: Hypernym DiscoveryJose Camacho-Collados, Claudio Delli Bovi, Luis Espinosa-Anke et al.78 citations
  10. EMA at SemEval-2018 Task 1: Emotion Mining for ArabicGilbert Badaro, Obeida El Jundi, Alaa Khaddaj et al.60 citations
  11. TeamUNCC at SemEval-2018 Task 1: Emotion Detection in English and Arabic Tweets using Deep LearningMalak Abdullah, Samira Shaikh57 citations
  12. NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNsChristos Baziotis, Athanasiou Nikolaos, Pinelopi Papalampidi et al.54 citations · our summary
  13. SeerNet at SemEval-2018 Task 1: Domain Adaptation for Affect in TweetsVenkatesh Duppada, Royal Jain, Sushant Hiray51 citations
  14. PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and \#hashtagsJi Ho Park, Peng Xu, Pascale Fung50 citations
  15. AttnConvnet at SemEval-2018 Task 1: Attention-based Convolutional Neural Networks for Multi-label Emotion ClassificationYanghoon Kim, Hwanhee Lee, Kyomin Jung49 citations
  16. CRIM at SemEval-2018 Task 9: A Hybrid Approach to Hypernym DiscoveryGabriel Bernier-Colborne, Caroline Barrière46 citations
  17. TCS Research at SemEval-2018 Task 1: Learning Robust Representations using Multi-Attention ArchitectureHardik Meisheri, Lipika Dey40 citations
  18. Tübingen-Oslo at SemEval-2018 Task 2: SVMs perform better than RNNs in Emoji PredictionÇağrı Çöltekin, Taraka Rama40 citations
  19. CrystalFeel at SemEval-2018 Task 1: Understanding and Detecting Emotion Intensity using Affective LexiconsRaj Kumar Gupta, Yinping Yang36 citations
  20. Tw-StAR at SemEval-2018 Task 1: Preprocessing Impact on Multi-label Emotion ClassificationHala Mulki, Chedi Bechikh Ali, Hatem Haddad et al.36 citations
  21. YNU-HPCC at SemEval-2018 Task 1: BiLSTM with Attention based Sentiment Analysis for Affect in TweetsYou Zhang, Jin Wang, Xuejie Zhang36 citations
  22. ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and ExtractionJonathan Rotsztejn, Nora Hollenstein, Ce Zhang33 citations
  23. EiTAKA at SemEval-2018 Task 1: An Ensemble of N-Channels ConvNet and XGboost Regressors for Emotion Analysis of TweetsMohammed Jabreel, Antonio Moreno33 citations
  24. WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of IronyOmid Rohanian, Shiva Taslimipoor, Richard Evans et al.32 citations · our summary
  25. Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment ClassificationAlon Rozental, Daniel Fleischer31 citations
  26. SemEval-2018 Task 8: Semantic Extraction from CybersecUrity REports using Natural Language Processing (SecureNLP)Peter Phandi, Amila Silva, Wei Lu30 citations
  27. SemEval 2018 Task 6: Parsing Time NormalizationsEgoitz Laparra, Dongfang Xu, Ahmed Elsayed et al.27 citations
  28. SemEval-2018 Task 10: Capturing Discriminative AttributesAlicia Krebs, Alessandro Lenci, Denis Paperno27 citations
  29. ELiRF-UPV at SemEval-2018 Tasks 1 and 3: Affect and Irony Detection in TweetsJosé-Ángel González, Lluís-F. Hurtado, Ferran Pla25 citations · our summary
  30. NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in TwitterThanh Vu, Dat Quoc Nguyen, Xuan-Son Vu et al.24 citations · our summary
  31. LT3 at SemEval-2018 Task 1: A classifier chain to detect emotions in tweetsLuna De Bruyne, Orphée De Clercq, Véronique Hoste23 citations
  32. NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in TweetsHarsh Rangwani, Devang Kulshreshtha, Anil Kumar Singh23 citations · our summary
  33. NTUA-SLP at SemEval-2018 Task 2: Predicting Emojis using RNNs with Context-aware AttentionChristos Baziotis, Athanasiou Nikolaos, Athanasia Kolovou et al.23 citations
  34. IronyMagnet at SemEval-2018 Task 3: A Siamese network for Irony detection in Social mediaAniruddha Ghosh, Tony Veale22 citations · our summary
  35. SemEval-2018 Task 12: The Argument Reasoning Comprehension TaskIvan Habernal, Henning Wachsmuth, Iryna Gurevych et al.21 citations
  36. RNN for Affects at SemEval-2018 Task 1: Formulating Affect Identification as a Binary Classification ProblemAysu Ezen-Can, Ethem F. Can19 citations
  37. TeamCEN at SemEval-2018 Task 1: Global Vectors Representation in Emotion DetectionAnon George, Barathi Ganesh H. B., Anand Kumar M et al.19 citations
  38. psyML at SemEval-2018 Task 1: Transfer Learning for Sentiment and Emotion AnalysisGrace Gee, Eugene Wang19 citations
  39. MITRE at SemEval-2018 Task 11: Commonsense Reasoning without Commonsense KnowledgeElizabeth Merkhofer, John Henderson, David Bloom et al.18 citations
  40. The UWNLP system at SemEval-2018 Task 7: Neural Relation Extraction Model with Selectively Incorporated Concept EmbeddingsYi Luan, Mari Ostendorf, Hannaneh Hajishirzi18 citations
  41. EmoNLP at SemEval-2018 Task 2: English Emoji Prediction with Gradient Boosting Regression Tree Method and Bidirectional LSTMMan Liu17 citations
  42. TeamDL at SemEval-2018 Task 8: Cybersecurity Text Analysis using Convolutional Neural Network and Conditional Random FieldsManikandan R, Krishna Madgula, Snehanshu Saha17 citations
  43. 300-sparsans at SemEval-2018 Task 9: Hypernymy as interaction of sparse attributesGábor Berend, Márton Makrai, Péter Földiák16 citations
  44. Irony Detector at SemEval-2018 Task 3: Irony Detection in English Tweets using Word GraphUsman Ahmed, Lubna Zafar, Faiza Qayyum et al.15 citations · our summary
  45. UMBC at SemEval-2018 Task 8: Understanding Text about MalwareAnkur Padia, Arpita Roy, Taneeya Satyapanich et al.15 citations
  46. Duluth UROP at SemEval-2018 Task 2: Multilingual Emoji Prediction with Ensemble Learning and OversamplingShuning Jin, Ted Pedersen14 citations
  47. Epita at SemEval-2018 Task 1: Sentiment Analysis Using Transfer Learning ApproachGuillaume Daval-Frerot, Abdesselam Bouchekif, Anatole Moreau14 citations
  48. GIST at SemEval-2018 Task 12: A network transferring inference knowledge to Argument Reasoning Comprehension taskHongSeok Choi, Hyunju Lee14 citations
  49. SUNNYNLP at SemEval-2018 Task 10: A Support-Vector-Machine-Based Method for Detecting Semantic Difference using Taxonomy and Word Embedding FeaturesSunny Lai, Kwong Sak Leung, Yee Leung14 citations
  50. SemEval-2018 Task 5: Counting Events and Participants in the Long TailMarten Postma, Filip Ilievski, Piek Vossen14 citations
  51. SemEval 2018 Task 4: Character Identification on Multiparty DialoguesJinho D. Choi, Henry Y. Chen13 citations
  52. Hatching Chick at SemEval-2018 Task 2: Multilingual Emoji PredictionJoël Coster, Reinder Gerard van Dalen, Nathalie Adriënne Jacqueline Stierman12 citations
  53. SSN MLRG1 at SemEval-2018 Task 1: Emotion and Sentiment Intensity Detection Using Rule Based Feature SelectionAngel Deborah S, Rajalakshmi S, S Milton Rajendram et al.12 citations
  54. ValenTO at SemEval-2018 Task 3: Exploring the Role of Affective Content for Detecting Irony in English TweetsDelia Irazú Hernández Farías, Viviana Patti, Paolo Rosso12 citations · our summary
  55. YNU-HPCC at SemEval-2018 Task 3: Ensemble Neural Network Models for Irony Detection on TwitterBo Peng, Jin Wang, Xuejie Zhang12 citations · our summary
  56. AffecThor at SemEval-2018 Task 1: A cross-linguistic approach to sentiment intensity quantification in tweetsMostafa Abdou, Artur Kulmizev, Joan Ginés i Ametllé11 citations
  57. Chrono at SemEval-2018 Task 6: A System for Normalizing Temporal ExpressionsAmy Olex, Luke Maffey, Nicholas Morgan et al.11 citations
  58. Mutux at SemEval-2018 Task 1: Exploring Impacts of Context Information On Emotion DetectionPan Du, Jian-Yun Nie11 citations
  59. SIRIUS-LTG-UiO at SemEval-2018 Task 7: Convolutional Neural Networks with Shortest Dependency Paths for Semantic Relation Extraction and Classification in Scientific PapersFarhad Nooralahzadeh, Lilja Øvrelid, Jan Tore Lønning11 citations
  60. \#NonDicevoSulSerio at SemEval-2018 Task 3: Exploiting Emojis and Affective Content for Irony Detection in English TweetsEndang Wahyu Pamungkas, Viviana Patti11 citations · our summary
  61. MIT-MEDG at SemEval-2018 Task 7: Semantic Relation Classification via Convolution Neural NetworkDi Jin, Franck Dernoncourt, Elena Sergeeva et al.10 citations
  62. The Dabblers at SemEval-2018 Task 2: Multilingual Emoji PredictionLarisa Alexa, Alina Lorenț, Daniela Gîfu et al.10 citations
  63. ECNU at SemEval-2018 Task 1: Emotion Intensity Prediction Using Effective Features and Machine Learning ModelsHuimin Xu, Man Lan, Yuanbin Wu9 citations
  64. SJTU-NLP at SemEval-2018 Task 9: Neural Hypernym Discovery with Term EmbeddingsZhuosheng Zhang, Jiangtong Li, Hai Zhao et al.9 citations
  65. DL Team at SemEval-2018 Task 1: Tweet Affect Detection using Sentiment Lexicons and EmbeddingsDmitry Kravchenko, Lidia Pivovarova8 citations
  66. DM_NLP at SemEval-2018 Task 8: neural sequence labeling with linguistic featuresChunping Ma, Huafei Zheng, Pengjun Xie et al.8 citations
  67. DUTH at SemEval-2018 Task 2: Emoji Prediction in TweetsDimitrios Effrosynidis, Georgios Peikos, Symeon Symeonidis et al.8 citations
  68. DeepMiner at SemEval-2018 Task 1: Emotion Intensity Recognition Using Deep Representation LearningHabibeh Naderi, Behrouz Haji Soleimani, Saif Mohammad et al.8 citations
  69. KDE-AFFECT at SemEval-2018 Task 1: Estimation of Affects in Tweet by Using Convolutional Neural Network for n-gramMasaki Aono, Shinnosuke Himeno8 citations
  70. NLP_HZ at SemEval-2018 Task 9: a Nearest Neighbor ApproachWei Qiu, Mosha Chen, Linlin Li et al.8 citations
  71. THU_NGN at SemEval-2018 Task 2: Residual CNN-LSTM Network with Attention for English Emoji PredictionChuhan Wu, Fangzhao Wu, Sixing Wu et al.8 citations
  72. UG18 at SemEval-2018 Task 1: Generating Additional Training Data for Predicting Emotion Intensity in SpanishMarloes Kuijper, Mike van Lenthe, Rik van Noord8 citations
  73. Villani at SemEval-2018 Task 8: Semantic Extraction from Cybersecurity Reports using Representation LearningPablo Loyola, Kugamoorthy Gajananan, Yuji Watanabe et al.8 citations
  74. ADAPT at SemEval-2018 Task 9: Skip-Gram Word Embeddings for Unsupervised Hypernym Discovery in Specialised CorporaAlfredo Maldonado, Filip Klubička7 citations
  75. Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational KnowledgeRobyn Speer, Joanna Lowry-Duda7 citations
  76. NewsReader at SemEval-2018 Task 5: Counting events by reasoning over event-centric-knowledge-graphsPiek Vossen7 citations
  77. Peperomia at SemEval-2018 Task 2: Vector Similarity Based Approach for Emoji PredictionJing Chen, Dechuan Yang, Xilian Li et al.7 citations
  78. SSN MLRG1 at SemEval-2018 Task 3: Irony Detection in English Tweets Using MultiLayer PerceptronRajalakshmi S, Angel Deborah S, S Milton Rajendram et al.7 citations
  79. THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTMChuhan Wu, Fangzhao Wu, Junxin Liu et al.7 citations · our summary
  80. Tweety at SemEval-2018 Task 2: Predicting Emojis using Hierarchical Attention Neural Networks and Support Vector MachineDaniel Kopev, Atanas Atanasov, Dimitrina Zlatkova et al.7 citations
  81. UMDuluth-CS8761 at SemEval-2018 Task 2: Emojis: Too many Choices?Jonathan Beaulieu, Dennis Asamoah Owusu7 citations
  82. YNU-HPCC at SemEval-2018 Task 2: Multi-ensemble Bi-GRU Model with Attention Mechanism for Multilingual Emoji PredictionNan Wang, Jin Wang, Xuejie Zhang7 citations
  83. AmritaNLP at SemEval-2018 Task 10: Capturing discriminative attributes using convolution neural network over global vector representation.Vivek Vinayan, Anand Kumar M, Soman K P6 citations
  84. Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detectionNishant Nikhil, Muktabh Mayank Srivastava6 citations · our summary
  85. BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative AttributesEnrico Santus, Chris Biemann, Emmanuele Chersoni6 citations
  86. ClaiRE at SemEval-2018 Task 7: Classification of Relations using EmbeddingsLena Hettinger, Alexander Dallmann, Albin Zehe et al.6 citations
  87. Digital Operatives at SemEval-2018 Task 8: Using dependency features for malware NLPChris Brew6 citations
  88. ECNU at SemEval-2018 Task 2: Leverage Traditional NLP Features and Neural Networks Methods to Address Twitter Emoji Prediction TaskXingwu Lu, Xin Mao, Man Lan et al.6 citations
  89. ELiRF-UPV at SemEval-2018 Task 11: Machine Comprehension using Commonsense KnowledgeJosé-Ángel González, Lluís-F. Hurtado, Encarna Segarra et al.6 citations
  90. Flytxt_NTNU at SemEval-2018 Task 8: Identifying and Classifying Malware Text Using Conditional Random Fields and Naïve Bayes ClassifiersUtpal Kumar Sikdar, Biswanath Barik, Björn Gambäck6 citations
  91. UMDSub at SemEval-2018 Task 2: Multilingual Emoji Prediction Multi-channel Convolutional Neural Network on Subword EmbeddingZhenduo Wang, Ted Pedersen6 citations
  92. UWB at SemEval-2018 Task 1: Emotion Intensity Detection in TweetsPavel Přibáň, Tomáš Hercig, Ladislav Lenc6 citations
  93. YNU-HPCC at Semeval-2018 Task 11: Using an Attention-based CNN-LSTM for Machine Comprehension using Commonsense KnowledgeHang Yuan, Jin Wang, Xuejie Zhang6 citations
  94. HCCL at SemEval-2018 Task 8: An End-to-End System for Sequence Labeling from Cybersecurity ReportsMingming Fu, Xuemin Zhao, Yonghong Yan5 citations
  95. ISCLAB at SemEval-2018 Task 1: UIR-Miner for Affect in TweetsMeng Li, Zhenyuan Dong, Zhihao Fan et al.5 citations
  96. SyntNN at SemEval-2018 Task 2: is Syntax Useful for Emoji Prediction? Embedding Syntactic Trees in Multi Layer PerceptronsFabio Massimo Zanzotto, Andrea Santilli5 citations
  97. Talla at SemEval-2018 Task 7: Hybrid Loss Optimization for Relation Classification using Convolutional Neural NetworksBhanu Pratap, Daniel Shank, Oladipo Ositelu et al.5 citations
  98. UMDuluth-CS8761 at SemEval-2018 Task9: Hypernym Discovery using Hearst Patterns, Co-occurrence frequencies and Word EmbeddingsArshia Zernab Hassan, Manikya Swathi Vallabhajosyula, Ted Pedersen5 citations
  99. deepSA2018 at SemEval-2018 Task 1: Multi-task Learning of Different Label for Affect in TweetsZi-Yuan Gao, Chia-Ping Chen5 citations
  100. ABDN at SemEval-2018 Task 10: Recognising Discriminative Attributes using Context Embeddings and WordNetRui Mao, Guanyi Chen, Ruizhe Li et al.4 citations

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