SemEval 2018 — accepted papers
SemEval 2018 is the 2018 edition of the International Workshop on Semantic Evaluation (SemEval), held in New Orleans, Louisiana, June 2018 (publisher: Association for Computational Linguistics). The ACL Anthology lists 194 papers of it; our library holds 27 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
Most cited papers
- SemEval-2018 Task 1: Affect in TweetsSaif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh et al.744 citations · our summary
- SemEval-2018 Task 3: Irony Detection in English TweetsCynthia Van Hee, Els Lefever, Véronique Hoste292 citations · our summary
- SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific PapersKata Gábor, Davide Buscaldi, Anne-Kathrin Schumann et al.147 citations · our summary
- SemEval 2018 Task 2: Multilingual Emoji PredictionFrancesco Barbieri, Jose Camacho-Collados, Francesco Ronzano et al.141 citations · our summary
- 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
- SemEval-2018 Task 11: Machine Comprehension Using Commonsense KnowledgeSimon Ostermann, Michael Roth, Ashutosh Modi et al.114 citations
- 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
- 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
- SemEval-2018 Task 9: Hypernym DiscoveryJose Camacho-Collados, Claudio Delli Bovi, Luis Espinosa-Anke et al.78 citations
- EMA at SemEval-2018 Task 1: Emotion Mining for ArabicGilbert Badaro, Obeida El Jundi, Alaa Khaddaj et al.60 citations
All accepted papers (194)
- SemEval-2018 Task 1: Affect in TweetsSaif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh et al.744 citations · our summary
- SemEval-2018 Task 3: Irony Detection in English TweetsCynthia Van Hee, Els Lefever, Véronique Hoste292 citations · our summary
- SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific PapersKata Gábor, Davide Buscaldi, Anne-Kathrin Schumann et al.147 citations · our summary
- SemEval 2018 Task 2: Multilingual Emoji PredictionFrancesco Barbieri, Jose Camacho-Collados, Francesco Ronzano et al.141 citations · our summary
- 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
- SemEval-2018 Task 11: Machine Comprehension Using Commonsense KnowledgeSimon Ostermann, Michael Roth, Ashutosh Modi et al.114 citations
- 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
- 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
- SemEval-2018 Task 9: Hypernym DiscoveryJose Camacho-Collados, Claudio Delli Bovi, Luis Espinosa-Anke et al.78 citations
- EMA at SemEval-2018 Task 1: Emotion Mining for ArabicGilbert Badaro, Obeida El Jundi, Alaa Khaddaj et al.60 citations
- TeamUNCC at SemEval-2018 Task 1: Emotion Detection in English and Arabic Tweets using Deep LearningMalak Abdullah, Samira Shaikh57 citations
- 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
- SeerNet at SemEval-2018 Task 1: Domain Adaptation for Affect in TweetsVenkatesh Duppada, Royal Jain, Sushant Hiray51 citations
- PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and \#hashtagsJi Ho Park, Peng Xu, Pascale Fung50 citations
- AttnConvnet at SemEval-2018 Task 1: Attention-based Convolutional Neural Networks for Multi-label Emotion ClassificationYanghoon Kim, Hwanhee Lee, Kyomin Jung49 citations
- CRIM at SemEval-2018 Task 9: A Hybrid Approach to Hypernym DiscoveryGabriel Bernier-Colborne, Caroline Barrière46 citations
- TCS Research at SemEval-2018 Task 1: Learning Robust Representations using Multi-Attention ArchitectureHardik Meisheri, Lipika Dey40 citations
- Tübingen-Oslo at SemEval-2018 Task 2: SVMs perform better than RNNs in Emoji PredictionÇağrı Çöltekin, Taraka Rama40 citations
- CrystalFeel at SemEval-2018 Task 1: Understanding and Detecting Emotion Intensity using Affective LexiconsRaj Kumar Gupta, Yinping Yang36 citations
- Tw-StAR at SemEval-2018 Task 1: Preprocessing Impact on Multi-label Emotion ClassificationHala Mulki, Chedi Bechikh Ali, Hatem Haddad et al.36 citations
- YNU-HPCC at SemEval-2018 Task 1: BiLSTM with Attention based Sentiment Analysis for Affect in TweetsYou Zhang, Jin Wang, Xuejie Zhang36 citations
- 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
- EiTAKA at SemEval-2018 Task 1: An Ensemble of N-Channels ConvNet and XGboost Regressors for Emotion Analysis of TweetsMohammed Jabreel, Antonio Moreno33 citations
- WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of IronyOmid Rohanian, Shiva Taslimipoor, Richard Evans et al.32 citations · our summary
- Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment ClassificationAlon Rozental, Daniel Fleischer31 citations
See all 194 papers in SemEval 2018 — accepted papers →
Papers with our summary in our library (27)
- SemEval-2018 Task 1: Affect in TweetsSaif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, et al.2018 · 1,094 citations
- SemEval-2018 Task 3: Irony Detection in English TweetsCynthia Van Hee, Els Lefever, Véronique Hoste2018 · 467 citations
- SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific PapersKata Gábor, Davide Buscaldi, Anne-Kathrin Schumann, et al.2018 · 216 citations
- SemEval 2018 Task 2: Multilingual Emoji PredictionFrancesco Barbieri, Jose Camacho-Collados, Francesco Ronzano, et al.2018 · 204 citations
- 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.2018 · 74 citations
- WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of IronyOmid Rohanian, Shiva Taslimipoor, Richard Evans, et al.2018 · 39 citations
- ELiRF-UPV at SemEval-2018 Tasks 1 and 3: Affect and Irony Detection in TweetsJosé-Ángel González, Lluís-F. Hurtado, Ferran Pla2018 · 29 citations
- 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.2018 · 29 citations
- IronyMagnet at SemEval-2018 Task 3: A Siamese network for Irony detection in Social mediaAniruddha Ghosh, Tony Veale2018 · 28 citations
- 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 Singh2018 · 28 citations
- Irony Detector at SemEval-2018 Task 3: Irony Detection in English Tweets using Word GraphUsman Ahmed, Lubna Zafar, Faiza Qayyum, et al.2018 · 17 citations
- #NonDicevoSulSerio at SemEval-2018 Task 3: Exploiting Emojis and Affective Content for Irony Detection in English TweetsEndang Wahyu Pamungkas, Viviana Patti2018 · 14 citations
- YNU-HPCC at SemEval-2018 Task 3: Ensemble Neural Network Models for Irony Detection on TwitterBo Peng, Jin Wang, Xuejie Zhang2018 · 14 citations
- ValenTO at SemEval-2018 Task 3: Exploring the Role of Affective Content for Detecting Irony in English TweetsDelia Irazú Hernández Farías, Viviana Patti, Paolo Rosso2018 · 13 citations
- THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTMChuhan Wu, Fangzhao Wu, Junxin Liu, et al.2018 · 10 citations
- Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detectionNishant Nikhil, Muktabh Mayank Srivastava2018 · 7 citations
- ALANIS at SemEval-2018 Task 3: A Feature Engineering Approach to Irony Detection in English TweetsKevin Swanberg, Madiha Mirza, Ted Pedersen, et al.2018 · 4 citations
- HashCount at SemEval-2018 Task 3: Concatenative Featurization of Tweet and Hashtags for Irony DetectionWon Ik Cho, Woo Hyun Kang, Nam Soo Kim2018 · 3 citations
- INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in TwitterDelia Irazú Hernández Farías, Fernando Sánchez-Vega, Manuel Montes-y-Gómez, et al.2018 · 3 citations
- IIIDYT at SemEval-2018 Task 3: Irony detection in English tweetsEdison Marrese-Taylor, Suzana Ilic, Jorge Balazs, et al.2018 · 3 citations
- LDR at SemEval-2018 Task 3: A Low Dimensional Text Representation for Irony DetectionBilal Ghanem, Francisco Rangel, Paolo Rosso2018 · 2 citations
- Random Decision Syntax Trees at SemEval-2018 Task 3: LSTMs and Sentiment Scores for Irony DetectionAidan San2018 · 2 citations
- Lancaster at SemEval-2018 Task 3: Investigating Ironic Features in English TweetsEdward Dearden, Alistair Baron2018 · 1 citation
- KLUEnicorn at SemEval-2018 Task 3: A Naive Approach to Irony DetectionLuise Dürlich2018 · 1 citation
- PunFields at SemEval-2018 Task 3: Detecting Irony by Tools of Humor AnalysisElena Mikhalkova, Yuri Karyakin, Alexander Voronov, et al.2018 · 1 citation
See all 27 works in SemEval 2018 — accepted papers →
Top topics
Sentiment & emotion (24)English (23)Information extraction (1)Multilingual & cross-lingual NLP (1)Syntax & grammar formalisms (1)
Fields
Computer Science (27)Arts and Humanities (24)Psychology (6)Biochemistry, Genetics and Molecular Biology (1)
Top authors
Top institutions
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