---
title: "SemEval 2018 — all accepted papers — the most cited first"
description: "All 194 papers of SemEval 2018 · page 1 of 2, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/semeval/2018/papers/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/semeval/2018/papers/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [SemEval](https://md.research.elamur.ai/free/en/venues/semeval/) / [2018](https://md.research.elamur.ai/free/en/venues/semeval/2018/) / papers

# SemEval 2018: all accepted papers

194 papers · page 1 of 2 · the most cited first · [← SemEval 2018](https://md.research.elamur.ai/free/en/venues/semeval/2018/)

**1** [2](https://md.research.elamur.ai/free/en/venues/semeval/2018/papers/page/2/) [next →](https://md.research.elamur.ai/free/en/venues/semeval/2018/papers/page/2/)

1. **[SemEval-2018 Task 1: Affect in Tweets](https://md.research.elamur.ai/free/en/papers/mohammad-2018-semeval-2018-task-1-affect/)**Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh et al.*744 citations · our summary*
2. **[SemEval-2018 Task 3: Irony Detection in English Tweets](https://md.research.elamur.ai/free/en/papers/hee-2018-semeval-2018-task-3-irony/)**Cynthia Van Hee, Els Lefever, Véronique Hoste*292 citations · our summary*
3. **[SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers](https://md.research.elamur.ai/free/en/papers/gabor-2018-semeval-2018-task-7-semantic/)**Kata Gábor, Davide Buscaldi, Anne-Kathrin Schumann et al.*147 citations · our summary*
4. **[SemEval 2018 Task 2: Multilingual Emoji Prediction](https://md.research.elamur.ai/free/en/papers/barbieri-2018-semeval-2018-task-2-multilingual/)**Francesco 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 Learning ↗](https://aclanthology.org/S18-1037/)**Christos Baziotis, Athanasiou Nikolaos, Alexandra Chronopoulou et al.*139 citations*
6. **[SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge ↗](https://aclanthology.org/S18-1119/)**Simon 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 Comprehension ↗](https://aclanthology.org/S18-1120/)**Liang 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 Learning ↗](https://aclanthology.org/S18-1006/)**Chuhan Wu, Fangzhao Wu, Sixing Wu et al.*80 citations*
9. **[SemEval-2018 Task 9: Hypernym Discovery ↗](https://aclanthology.org/S18-1115/)**Jose Camacho-Collados, Claudio Delli Bovi, Luis Espinosa-Anke et al.*78 citations*
10. **[EMA at SemEval-2018 Task 1: Emotion Mining for Arabic ↗](https://aclanthology.org/S18-1036/)**Gilbert 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 Learning ↗](https://aclanthology.org/S18-1053/)**Malak Abdullah, Samira Shaikh*57 citations*
12. **[NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNs](https://md.research.elamur.ai/free/en/papers/baziotis-2018-ntua-slp-semeval-2018-task-s18-1100/)**Christos Baziotis, Athanasiou Nikolaos, Pinelopi Papalampidi et al.*54 citations · our summary*
13. **[SeerNet at SemEval-2018 Task 1: Domain Adaptation for Affect in Tweets ↗](https://aclanthology.org/S18-1002/)**Venkatesh Duppada, Royal Jain, Sushant Hiray*51 citations*
14. **[PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and \#hashtags ↗](https://aclanthology.org/S18-1039/)**Ji Ho Park, Peng Xu, Pascale Fung*50 citations*
15. **[AttnConvnet at SemEval-2018 Task 1: Attention-based Convolutional Neural Networks for Multi-label Emotion Classification ↗](https://aclanthology.org/S18-1019/)**Yanghoon Kim, Hwanhee Lee, Kyomin Jung*49 citations*
16. **[CRIM at SemEval-2018 Task 9: A Hybrid Approach to Hypernym Discovery ↗](https://aclanthology.org/S18-1116/)**Gabriel Bernier-Colborne, Caroline Barrière*46 citations*
17. **[TCS Research at SemEval-2018 Task 1: Learning Robust Representations using Multi-Attention Architecture ↗](https://aclanthology.org/S18-1043/)**Hardik Meisheri, Lipika Dey*40 citations*
18. **[Tübingen-Oslo at SemEval-2018 Task 2: SVMs perform better than RNNs in Emoji Prediction ↗](https://aclanthology.org/S18-1004/)**Çağrı Çöltekin, Taraka Rama*40 citations*
19. **[CrystalFeel at SemEval-2018 Task 1: Understanding and Detecting Emotion Intensity using Affective Lexicons ↗](https://aclanthology.org/S18-1038/)**Raj Kumar Gupta, Yinping Yang*36 citations*
20. **[Tw-StAR at SemEval-2018 Task 1: Preprocessing Impact on Multi-label Emotion Classification ↗](https://aclanthology.org/S18-1024/)**Hala 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 Tweets ↗](https://aclanthology.org/S18-1040/)**You Zhang, Jin Wang, Xuejie Zhang*36 citations*
22. **[ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction ↗](https://aclanthology.org/S18-1112/)**Jonathan Rotsztejn, Nora Hollenstein, Ce Zhang*33 citations*
23. **[EiTAKA at SemEval-2018 Task 1: An Ensemble of N-Channels ConvNet and XGboost Regressors for Emotion Analysis of Tweets ↗](https://aclanthology.org/S18-1029/)**Mohammed Jabreel, Antonio Moreno*33 citations*
24. **[WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of Irony](https://md.research.elamur.ai/free/en/papers/rohanian-2018-wlv-semeval-2018-task-3/)**Omid 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 Classification ↗](https://aclanthology.org/S18-1033/)**Alon Rozental, Daniel Fleischer*31 citations*
26. **[SemEval-2018 Task 8: Semantic Extraction from CybersecUrity REports using Natural Language Processing (SecureNLP) ↗](https://aclanthology.org/S18-1113/)**Peter Phandi, Amila Silva, Wei Lu*30 citations*
27. **[SemEval 2018 Task 6: Parsing Time Normalizations ↗](https://aclanthology.org/S18-1011/)**Egoitz Laparra, Dongfang Xu, Ahmed Elsayed et al.*27 citations*
28. **[SemEval-2018 Task 10: Capturing Discriminative Attributes ↗](https://aclanthology.org/S18-1117/)**Alicia Krebs, Alessandro Lenci, Denis Paperno*27 citations*
29. **[ELiRF-UPV at SemEval-2018 Tasks 1 and 3: Affect and Irony Detection in Tweets](https://md.research.elamur.ai/free/en/papers/gonzalez-2018-elirf-upv-semeval-2018-tasks/)**José-Ángel González, Lluís-F. Hurtado, Ferran Pla*25 citations · our summary*
30. **[NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter](https://md.research.elamur.ai/free/en/papers/vu-2018-nihrio-semeval-2018-task-3/)**Thanh 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 tweets ↗](https://aclanthology.org/S18-1016/)**Luna De Bruyne, Orphée De Clercq, Véronique Hoste*23 citations*
32. **[NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in Tweets](https://md.research.elamur.ai/free/en/papers/rangwani-2018-nlprl-iitbhu-semeval-2018-task/)**Harsh Rangwani, Devang Kulshreshtha, Anil Kumar Singh*23 citations · our summary*
33. **[NTUA-SLP at SemEval-2018 Task 2: Predicting Emojis using RNNs with Context-aware Attention ↗](https://aclanthology.org/S18-1069/)**Christos Baziotis, Athanasiou Nikolaos, Athanasia Kolovou et al.*23 citations*
34. **[IronyMagnet at SemEval-2018 Task 3: A Siamese network for Irony detection in Social media](https://md.research.elamur.ai/free/en/papers/ghosh-2018-ironymagnet-semeval-2018-task-3/)**Aniruddha Ghosh, Tony Veale*22 citations · our summary*
35. **[SemEval-2018 Task 12: The Argument Reasoning Comprehension Task ↗](https://aclanthology.org/S18-1121/)**Ivan 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 Problem ↗](https://aclanthology.org/S18-1023/)**Aysu Ezen-Can, Ethem F. Can*19 citations*
37. **[TeamCEN at SemEval-2018 Task 1: Global Vectors Representation in Emotion Detection ↗](https://aclanthology.org/S18-1050/)**Anon 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 Analysis ↗](https://aclanthology.org/S18-1056/)**Grace Gee, Eugene Wang*19 citations*
39. **[MITRE at SemEval-2018 Task 11: Commonsense Reasoning without Commonsense Knowledge ↗](https://aclanthology.org/S18-1181/)**Elizabeth 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 Embeddings ↗](https://aclanthology.org/S18-1125/)**Yi Luan, Mari Ostendorf, Hannaneh Hajishirzi*18 citations*
41. **[EmoNLP at SemEval-2018 Task 2: English Emoji Prediction with Gradient Boosting Regression Tree Method and Bidirectional LSTM ↗](https://aclanthology.org/S18-1059/)**Man Liu*17 citations*
42. **[TeamDL at SemEval-2018 Task 8: Cybersecurity Text Analysis using Convolutional Neural Network and Conditional Random Fields ↗](https://aclanthology.org/S18-1140/)**Manikandan R, Krishna Madgula, Snehanshu Saha*17 citations*
43. **[300-sparsans at SemEval-2018 Task 9: Hypernymy as interaction of sparse attributes ↗](https://aclanthology.org/S18-1152/)**Gábor Berend, Márton Makrai, Péter Földiák*16 citations*
44. **[Irony Detector at SemEval-2018 Task 3: Irony Detection in English Tweets using Word Graph](https://md.research.elamur.ai/free/en/papers/ahmed-2018-irony-detector-semeval-2018-task/)**Usman Ahmed, Lubna Zafar, Faiza Qayyum et al.*15 citations · our summary*
45. **[UMBC at SemEval-2018 Task 8: Understanding Text about Malware ↗](https://aclanthology.org/S18-1142/)**Ankur Padia, Arpita Roy, Taneeya Satyapanich et al.*15 citations*
46. **[Duluth UROP at SemEval-2018 Task 2: Multilingual Emoji Prediction with Ensemble Learning and Oversampling ↗](https://aclanthology.org/S18-1077/)**Shuning Jin, Ted Pedersen*14 citations*
47. **[Epita at SemEval-2018 Task 1: Sentiment Analysis Using Transfer Learning Approach ↗](https://aclanthology.org/S18-1021/)**Guillaume Daval-Frerot, Abdesselam Bouchekif, Anatole Moreau*14 citations*
48. **[GIST at SemEval-2018 Task 12: A network transferring inference knowledge to Argument Reasoning Comprehension task ↗](https://aclanthology.org/S18-1122/)**HongSeok Choi, Hyunju Lee*14 citations*
49. **[SUNNYNLP at SemEval-2018 Task 10: A Support-Vector-Machine-Based Method for Detecting Semantic Difference using Taxonomy and Word Embedding Features ↗](https://aclanthology.org/S18-1118/)**Sunny Lai, Kwong Sak Leung, Yee Leung*14 citations*
50. **[SemEval-2018 Task 5: Counting Events and Participants in the Long Tail ↗](https://aclanthology.org/S18-1009/)**Marten Postma, Filip Ilievski, Piek Vossen*14 citations*
51. **[SemEval 2018 Task 4: Character Identification on Multiparty Dialogues ↗](https://aclanthology.org/S18-1007/)**Jinho D. Choi, Henry Y. Chen*13 citations*
52. **[Hatching Chick at SemEval-2018 Task 2: Multilingual Emoji Prediction ↗](https://aclanthology.org/S18-1070/)**Joël Coster, Reinder Gerard van Dalen, Nathalie Adriënne Jacqueline Stierman*12 citations*
53. **[SSN MLRG1 at SemEval-2018 Task 1: Emotion and Sentiment Intensity Detection Using Rule Based Feature Selection ↗](https://aclanthology.org/S18-1048/)**Angel 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 Tweets](https://md.research.elamur.ai/free/en/papers/farias-2018-valento-semeval-2018-task-3/)**Delia Irazú Hernández Farías, Viviana Patti, Paolo Rosso*12 citations · our summary*
55. **[YNU-HPCC at SemEval-2018 Task 3: Ensemble Neural Network Models for Irony Detection on Twitter](https://md.research.elamur.ai/free/en/papers/peng-2018-ynu-hpcc-semeval-2018-task/)**Bo Peng, Jin Wang, Xuejie Zhang*12 citations · our summary*
56. **[AffecThor at SemEval-2018 Task 1: A cross-linguistic approach to sentiment intensity quantification in tweets ↗](https://aclanthology.org/S18-1032/)**Mostafa Abdou, Artur Kulmizev, Joan Ginés i Ametllé*11 citations*
57. **[Chrono at SemEval-2018 Task 6: A System for Normalizing Temporal Expressions ↗](https://aclanthology.org/S18-1012/)**Amy Olex, Luke Maffey, Nicholas Morgan et al.*11 citations*
58. **[Mutux at SemEval-2018 Task 1: Exploring Impacts of Context Information On Emotion Detection ↗](https://aclanthology.org/S18-1052/)**Pan Du, Jian-Yun Nie*11 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 Papers ↗](https://aclanthology.org/S18-1128/)**Farhad Nooralahzadeh, Lilja Øvrelid, Jan Tore Lønning*11 citations*
60. **[\#NonDicevoSulSerio at SemEval-2018 Task 3: Exploiting Emojis and Affective Content for Irony Detection in English Tweets](https://md.research.elamur.ai/free/en/papers/pamungkas-2018-nondicevosulserio-semeval-2018-task-3/)**Endang Wahyu Pamungkas, Viviana Patti*11 citations · our summary*
61. **[MIT-MEDG at SemEval-2018 Task 7: Semantic Relation Classification via Convolution Neural Network ↗](https://aclanthology.org/S18-1127/)**Di Jin, Franck Dernoncourt, Elena Sergeeva et al.*10 citations*
62. **[The Dabblers at SemEval-2018 Task 2: Multilingual Emoji Prediction ↗](https://aclanthology.org/S18-1062/)**Larisa 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 Models ↗](https://aclanthology.org/S18-1035/)**Huimin Xu, Man Lan, Yuanbin Wu*9 citations*
64. **[SJTU-NLP at SemEval-2018 Task 9: Neural Hypernym Discovery with Term Embeddings ↗](https://aclanthology.org/S18-1147/)**Zhuosheng Zhang, Jiangtong Li, Hai Zhao et al.*9 citations*
65. **[DL Team at SemEval-2018 Task 1: Tweet Affect Detection using Sentiment Lexicons and Embeddings ↗](https://aclanthology.org/S18-1025/)**Dmitry Kravchenko, Lidia Pivovarova*8 citations*
66. **[DM_NLP at SemEval-2018 Task 8: neural sequence labeling with linguistic features ↗](https://aclanthology.org/S18-1114/)**Chunping Ma, Huafei Zheng, Pengjun Xie et al.*8 citations*
67. **[DUTH at SemEval-2018 Task 2: Emoji Prediction in Tweets ↗](https://aclanthology.org/S18-1074/)**Dimitrios Effrosynidis, Georgios Peikos, Symeon Symeonidis et al.*8 citations*
68. **[DeepMiner at SemEval-2018 Task 1: Emotion Intensity Recognition Using Deep Representation Learning ↗](https://aclanthology.org/S18-1045/)**Habibeh 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-gram ↗](https://aclanthology.org/S18-1022/)**Masaki Aono, Shinnosuke Himeno*8 citations*
70. **[NLP_HZ at SemEval-2018 Task 9: a Nearest Neighbor Approach ↗](https://aclanthology.org/S18-1148/)**Wei 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 Prediction ↗](https://aclanthology.org/S18-1063/)**Chuhan 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 Spanish ↗](https://aclanthology.org/S18-1041/)**Marloes Kuijper, Mike van Lenthe, Rik van Noord*8 citations*
73. **[Villani at SemEval-2018 Task 8: Semantic Extraction from Cybersecurity Reports using Representation Learning ↗](https://aclanthology.org/S18-1143/)**Pablo 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 Corpora ↗](https://aclanthology.org/S18-1151/)**Alfredo Maldonado, Filip Klubička*7 citations*
75. **[Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge ↗](https://aclanthology.org/S18-1162/)**Robyn Speer, Joanna Lowry-Duda*7 citations*
76. **[NewsReader at SemEval-2018 Task 5: Counting events by reasoning over event-centric-knowledge-graphs ↗](https://aclanthology.org/S18-1108/)**Piek Vossen*7 citations*
77. **[Peperomia at SemEval-2018 Task 2: Vector Similarity Based Approach for Emoji Prediction ↗](https://aclanthology.org/S18-1067/)**Jing Chen, Dechuan Yang, Xilian Li et al.*7 citations*
78. **[SSN MLRG1 at SemEval-2018 Task 3: Irony Detection in English Tweets Using MultiLayer Perceptron ↗](https://aclanthology.org/S18-1103/)**Rajalakshmi 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-LSTM](https://md.research.elamur.ai/free/en/papers/wu-2018-thu-ngn-semeval-2018-task/)**Chuhan 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 Machine ↗](https://aclanthology.org/S18-1080/)**Daniel Kopev, Atanas Atanasov, Dimitrina Zlatkova et al.*7 citations*
81. **[UMDuluth-CS8761 at SemEval-2018 Task 2: Emojis: Too many Choices? ↗](https://aclanthology.org/S18-1061/)**Jonathan Beaulieu, Dennis Asamoah Owusu*7 citations*
82. **[YNU-HPCC at SemEval-2018 Task 2: Multi-ensemble Bi-GRU Model with Attention Mechanism for Multilingual Emoji Prediction ↗](https://aclanthology.org/S18-1073/)**Nan Wang, Jin Wang, Xuejie Zhang*7 citations*
83. **[AmritaNLP at SemEval-2018 Task 10: Capturing discriminative attributes using convolution neural network over global vector representation. ↗](https://aclanthology.org/S18-1166/)**Vivek Vinayan, Anand Kumar M, Soman K P*6 citations*
84. **[Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detection](https://md.research.elamur.ai/free/en/papers/nikhil-2018-binarizer-semeval-2018-task-3/)**Nishant Nikhil, Muktabh Mayank Srivastava*6 citations · our summary*
85. **[BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative Attributes ↗](https://aclanthology.org/S18-1163/)**Enrico Santus, Chris Biemann, Emmanuele Chersoni*6 citations*
86. **[ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings ↗](https://aclanthology.org/S18-1134/)**Lena Hettinger, Alexander Dallmann, Albin Zehe et al.*6 citations*
87. **[Digital Operatives at SemEval-2018 Task 8: Using dependency features for malware NLP ↗](https://aclanthology.org/S18-1145/)**Chris Brew*6 citations*
88. **[ECNU at SemEval-2018 Task 2: Leverage Traditional NLP Features and Neural Networks Methods to Address Twitter Emoji Prediction Task ↗](https://aclanthology.org/S18-1068/)**Xingwu Lu, Xin Mao, Man Lan et al.*6 citations*
89. **[ELiRF-UPV at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge ↗](https://aclanthology.org/S18-1172/)**José-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 Classifiers ↗](https://aclanthology.org/S18-1144/)**Utpal Kumar Sikdar, Biswanath Barik, Björn Gambäck*6 citations*
91. **[UMDSub at SemEval-2018 Task 2: Multilingual Emoji Prediction Multi-channel Convolutional Neural Network on Subword Embedding ↗](https://aclanthology.org/S18-1060/)**Zhenduo Wang, Ted Pedersen*6 citations*
92. **[UWB at SemEval-2018 Task 1: Emotion Intensity Detection in Tweets ↗](https://aclanthology.org/S18-1018/)**Pavel Přibáň, Tomáš Hercig, Ladislav Lenc*6 citations*
93. **[YNU-HPCC at Semeval-2018 Task 11: Using an Attention-based CNN-LSTM for Machine Comprehension using Commonsense Knowledge ↗](https://aclanthology.org/S18-1177/)**Hang Yuan, Jin Wang, Xuejie Zhang*6 citations*
94. **[HCCL at SemEval-2018 Task 8: An End-to-End System for Sequence Labeling from Cybersecurity Reports ↗](https://aclanthology.org/S18-1141/)**Mingming Fu, Xuemin Zhao, Yonghong Yan*5 citations*
95. **[ISCLAB at SemEval-2018 Task 1: UIR-Miner for Affect in Tweets ↗](https://aclanthology.org/S18-1042/)**Meng 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 Perceptrons ↗](https://aclanthology.org/S18-1076/)**Fabio Massimo Zanzotto, Andrea Santilli*5 citations*
97. **[Talla at SemEval-2018 Task 7: Hybrid Loss Optimization for Relation Classification using Convolutional Neural Networks ↗](https://aclanthology.org/S18-1139/)**Bhanu 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 Embeddings ↗](https://aclanthology.org/S18-1149/)**Arshia Zernab Hassan, Manikya Swathi Vallabhajosyula, Ted Pedersen*5 citations*
99. **[deepSA2018 at SemEval-2018 Task 1: Multi-task Learning of Different Label for Affect in Tweets ↗](https://aclanthology.org/S18-1034/)**Zi-Yuan Gao, Chia-Ping Chen*5 citations*
100. **[ABDN at SemEval-2018 Task 10: Recognising Discriminative Attributes using Context Embeddings and WordNet ↗](https://aclanthology.org/S18-1169/)**Rui Mao, Guanyi Chen, Ruizhe Li et al.*4 citations*

**1** [2](https://md.research.elamur.ai/free/en/venues/semeval/2018/papers/page/2/) [next →](https://md.research.elamur.ai/free/en/venues/semeval/2018/papers/page/2/)

- [← back to](https://md.research.elamur.ai/free/en/venues/semeval/2018/) — SemEval 2018