SemEval 2018: all accepted papers
- ALB at SemEval-2018 Task 10: A System for Capturing Discriminative Attributes ↗Bogdan Dumitru, Alina Maria Ciobanu, Liviu P. Dinu4 citations
- Apollo at SemEval-2018 Task 9: Detecting Hypernymy Relations Using Syntactic Dependencies ↗Mihaela Onofrei, Ionuț Hulub, Diana Trandabăț et al.4 citations
- ECNU at SemEval-2018 Task 11: Using Deep Learning Method to Address Machine Comprehension Task ↗Yixuan Sheng, Man Lan, Yuanbin Wu4 citations
- EPUTION at SemEval-2018 Task 2: Emoji Prediction with User Adaption ↗Liyuan Zhou, Qiongkai Xu, Hanna Suominen et al.4 citations
- GHH at SemEval-2018 Task 10: Discovering Discriminative Attributes in Distributional Semantics ↗Mohammed Attia, Younes Samih, Manaal Faruqui et al.4 citations
- GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation Classification ↗Sean MacAvaney, Luca Soldaini, Arman Cohan et al.4 citations
- KOI at SemEval-2018 Task 5: Building Knowledge Graph of Incidents ↗Paramita Mirza, Fariz Darari, Rahmad Mahendra4 citations
- NLITrans at SemEval-2018 Task 12: Transfer of Semantic Knowledge for Argument Comprehension ↗Timothy Niven, Hung-Yu Kao4 citations
- NLPZZX at SemEval-2018 Task 1: Using Ensemble Method for Emotion and Sentiment Intensity Determination ↗Zhengxin Zhang, Qimin Zhou, Hao Wu4 citations
- NTU NLP Lab System at SemEval-2018 Task 10: Verifying Semantic Differences by Integrating Distributional Information and Expert Knowledge ↗Yow-Ting Shiue, Hen-Hsen Huang, Hsin-Hsi Chen4 citations
- SINAI at SemEval-2018 Task 1: Emotion Recognition in Tweets ↗Flor Miriam Plaza-del-Arco, Salud María Jiménez-Zafra, Maite Martin et al.4 citations
- TAJJEB at SemEval-2018 Task 2: Traditional Approaches Just Do the Job with Emoji Prediction ↗Angelo Basile, Kenny W. Lino4 citations
- TakeLab at SemEval-2018 Task12: Argument Reasoning Comprehension with Skip-Thought Vectors ↗Ana Brassard, Tin Kuculo, Filip Boltužić et al.4 citations
- UMD at SemEval-2018 Task 10: Can Word Embeddings Capture Discriminative Attributes? ↗Alexander Zhang, Marine Carpuat4 citations
- UNAM at SemEval-2018 Task 10: Unsupervised Semantic Discriminative Attribute Identification in Neural Word Embedding Cones ↗Ignacio Arroyo-Fernández, Ivan Meza, Carlos-Francisco Méndez-Cruz4 citations
- UWB at SemEval-2018 Task 10: Capturing Discriminative Attributes from Word Distributions ↗Tomáš Brychcín, Tomáš Hercig, Josef Steinberger et al.4 citations
- ALANIS at SemEval-2018 Task 3: A Feature Engineering Approach to Irony Detection in English TweetsKevin Swanberg, Madiha Mirza, Ted Pedersen et al.3 citations · our summary
- CENNLP at SemEval-2018 Task 2: Enhanced Distributed Representation of Text using Target Classes for Emoji Prediction Representation ↗Naveen J R, Hariharan V, Barathi Ganesh H. B. et al.3 citations
- ECNU at SemEval-2018 Task 10: Evaluating Simple but Effective Features on Machine Learning Methods for Semantic Difference Detection ↗Yunxiao Zhou, Man Lan, Yuanbin Wu3 citations
- ECNU at SemEval-2018 Task 12: An End-to-End Attention-based Neural Network for the Argument Reasoning Comprehension Task ↗Junfeng Tian, Man Lan, Yuanbin Wu3 citations
- ELiRF-UPV at SemEval-2018 Task 10: Capturing Discriminative Attributes with Knowledge Graphs and Wikipedia ↗José-Ángel González, Lluís-F. Hurtado, Encarna Segarra et al.3 citations
- EXPR at SemEval-2018 Task 9: A Combined Approach for Hypernym Discovery ↗Ahmad Issa Alaa Aldine, Mounira Harzallah, Giuseppe Berio et al.3 citations
- EmoIntens Tracker at SemEval-2018 Task 1: Emotional Intensity Levels in \#Tweets ↗Ramona-Andreea Turcu, Sandra Maria Amarandei, Iuliana-Alexandra Flescan-Lovin-Arseni et al.3 citations
- HHU at SemEval-2018 Task 12: Analyzing an Ensemble-based Deep Learning Approach for the Argument Mining Task of Choosing the Correct Warrant ↗Matthias Liebeck, Andreas Funke, Stefan Conrad3 citations
- IIIDYT at SemEval-2018 Task 3: Irony detection in English tweetsEdison Marrese-Taylor, Suzana Ilic, Jorge Balazs et al.3 citations · our summary
- 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.3 citations · our summary
- IRCMS at SemEval-2018 Task 7 : Evaluating a basic CNN Method and Traditional Pipeline Method for Relation Classification ↗Zhongbo Yin, Zhunchen Luo, Wei Luo et al.3 citations
- Lyb3b at SemEval-2018 Task 11: Machine Comprehension Task using Deep Learning Models ↗Yongbin Li, Xiaobing Zhou3 citations
- Meaning_space at SemEval-2018 Task 10: Combining explicitly encoded knowledge with information extracted from word embeddings ↗Pia Sommerauer, Antske Fokkens, Piek Vossen3 citations
- THU_NGN at SemEval-2018 Task 10: Capturing Discriminative Attributes with MLP-CNN model ↗Chuhan Wu, Fangzhao Wu, Sixing Wu et al.3 citations
- UNBNLP at SemEval-2018 Task 10: Evaluating unsupervised approaches to capturing discriminative attributes ↗Milton King, Ali Hakimi Parizi, Paul Cook3 citations
- UniMelb at SemEval-2018 Task 12: Generative Implication using LSTMs, Siamese Networks and Semantic Representations with Synonym Fuzzing ↗Anirudh Joshi, Tim Baldwin, Richard O. Sinnott et al.3 citations
- \#TeamINF at SemEval-2018 Task 2: Emoji Prediction in Tweets ↗Alison Ribeiro, Nádia Silva3 citations
- ARB-SEN at SemEval-2018 Task1: A New Set of Features for Enhancing the Sentiment Intensity Prediction in Arabic Tweets ↗El Moatez Billah Nagoudi2 citations
- Amrita_student at SemEval-2018 Task 1: Distributed Representation of Social Media Text for Affects in Tweets ↗Nidhin A Unnithan, Shalini K., Barathi Ganesh H. B. et al.2 citations
- EmojiIt at SemEval-2018 Task 2: An Effective Attention-Based Recurrent Neural Network Model for Emoji Prediction with Characters Gated Words ↗Shiyun Chen, Maoquan Wang, Liang He2 citations
- FOI DSS at SemEval-2018 Task 1: Combining LSTM States, Embeddings, and Lexical Features for Affect Analysis ↗Maja Karasalo, Mattias Nilsson, Magnus Rosell et al.2 citations
- HashCount at SemEval-2018 Task 3: Concatenative Featurization of Tweet and Hashtags for Irony DetectionWon Ik Cho, Woo Hyun Kang, Nam Soo Kim2 citations · our summary
- Joker at SemEval-2018 Task 12: The Argument Reasoning Comprehension with Neural Attention ↗Guobin Sui, Wenhan Chao, Zhunchen Luo2 citations
- LDR at SemEval-2018 Task 3: A Low Dimensional Text Representation for Irony DetectionBilal Ghanem, Francisco Rangel, Paolo Rosso2 citations · our summary
- LIS at SemEval-2018 Task 2: Mixing Word Embeddings and Bag of Features for Multilingual Emoji Prediction ↗Gaël Guibon, Magalie Ochs, Patrice Bellot2 citations
- NTNU at SemEval-2018 Task 7: Classifier Ensembling for Semantic Relation Identification and Classification in Scientific Papers ↗Biswanath Barik, Utpal Kumar Sikdar, Björn Gambäck2 citations
- PickleTeam! at SemEval-2018 Task 2: English and Spanish Emoji Prediction from Tweets ↗Daphne Groot, Rémon Kruizinga, Hennie Veldthuis et al.2 citations
- Random Decision Syntax Trees at SemEval-2018 Task 3: LSTMs and Sentiment Scores for Irony DetectionAidan San2 citations · our summary
- UC3M-NII Team at SemEval-2018 Task 7: Semantic Relation Classification in Scientific Papers via Convolutional Neural Network ↗Víctor Suárez-Paniagua, Isabel Segura-Bedmar, Akiko Aizawa2 citations
- UIUC at SemEval-2018 Task 1: Recognizing Affect with Ensemble Models ↗Abhishek Avinash Narwekar, Roxana Girju2 citations
- Wolves at SemEval-2018 Task 10: Semantic Discrimination based on Knowledge and Association ↗Shiva Taslimipoor, Omid Rohanian, Le An Ha et al.2 citations
- YNU Deep at SemEval-2018 Task 12: A BiLSTM Model with Neural Attention for Argument Reasoning Comprehension ↗Peng Ding, Xiaobing Zhou2 citations
- BLCU_NLP at SemEval-2018 Task 12: An Ensemble Model for Argument Reasoning Based on Hierarchical Attention ↗Meiqian Zhao, Chunhua Liu, Lu Liu et al.1 citation
- CENNLP at SemEval-2018 Task 1: Constrained Vector Space Model in Affects in Tweets ↗Naveen J R, Barathi Ganesh H. B., Anand Kumar M et al.1 citation
- CENTEMENT at SemEval-2018 Task 1: Classification of Tweets using Multiple Thresholds with Self-correction and Weighted Conditional Probabilities ↗Tariq Ahmad, Allan Ramsay, Hanady Ahmed1 citation
- CSReader at SemEval-2018 Task 11: Multiple Choice Question Answering as Textual Entailment ↗Zhengping Jiang, Qi Sun1 citation
- Discriminator at SemEval-2018 Task 10: Minimally Supervised Discrimination ↗Artur Kulmizev, Mostafa Abdou, Vinit Ravishankar et al.1 citation
- EICA Team at SemEval-2018 Task 2: Semantic and Metadata-based Features for Multilingual Emoji Prediction ↗Yufei Xie, Qingqing Song1 citation
- FEUP at SemEval-2018 Task 5: An Experimental Study of a Question Answering System ↗Carla Abreu, Eugénio Oliveira1 citation
- INGEOTEC at SemEval-2018 Task 1: EvoMSA and \ensuremath\muTC for Sentiment Analysis ↗Mario Graff, Sabino Miranda-Jiménez, Eric S. Tellez et al.1 citation
- ITNLP-ARC at SemEval-2018 Task 12: Argument Reasoning Comprehension with Attention ↗Wenjie Liu, Chengjie Sun, Lei Lin et al.1 citation
- KLUEnicorn at SemEval-2018 Task 3: A Naive Approach to Irony DetectionLuise Dürlich1 citation · our summary
- KNU CI System at SemEval-2018 Task4: Character Identification by Solving Sequence-Labeling Problem ↗Cheoneum Park, Heejun Song, Changki Lee1 citation
- Lancaster at SemEval-2018 Task 3: Investigating Ironic Features in English TweetsEdward Dearden, Alistair Baron1 citation · our summary
- LightRel at SemEval-2018 Task 7: Lightweight and Fast Relation Classification ↗Tyler Renslow, Günter Neumann1 citation
- Lyb3b at SemEval-2018 Task 12: Ensemble-based Deep Learning Models for Argument Reasoning Comprehension Task ↗Yongbin Li, Xiaobing Zhou1 citation
- Manchester Metropolitan at SemEval-2018 Task 2: Random Forest with an Ensemble of Features for Predicting Emoji in Tweets ↗Luciano Gerber, Matthew Shardlow1 citation
- NAI-SEA at SemEval-2018 Task 5: An Event Search System ↗Yingchi Liu, Quanzhi Li, Luo Si1 citation
- PunFields at SemEval-2018 Task 3: Detecting Irony by Tools of Humor AnalysisElena Mikhalkova, Yuri Karyakin, Alexander Voronov et al.1 citation · our summary
- TRANSRW at SemEval-2018 Task 12: Transforming Semantic Representations for Argument Reasoning Comprehension ↗Zhimin Chen, Wei Song, Lizhen Liu1 citation
- TakeLab at SemEval-2018 Task 7: Combining Sparse and Dense Features for Relation Classification in Scientific Texts ↗Martin Gluhak, Maria Pia di Buono, Abbas Akkasi et al.1 citation
- Texterra at SemEval-2018 Task 7: Exploiting Syntactic Information for Relation Extraction and Classification in Scientific Papers ↗Andrey Sysoev, Vladimir Mayorov1 citation
- UWB at SemEval-2018 Task 3: Irony detection in English tweets ↗Tomáš Hercig1 citation
- YNU_AI1799 at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge of Different model ensemble ↗Qingxun Liu, Hongdou Yao, Xaobing Zhou et al.1 citation
- Yuan at SemEval-2018 Task 1: Tweets Emotion Intensity Prediction using Ensemble Recurrent Neural Network ↗Min Wang, Xiaobing Zhou1 citation
- AMORE-UPF at SemEval-2018 Task 4: BiLSTM with Entity Library ↗Laura Aina, Carina Silberer, Ionut-Teodor Sorodoc et al.
- Bf3R at SemEval-2018 Task 7: Evaluating Two Relation Extraction Tools for Finding Semantic Relations in Biomedical Abstracts ↗Mariana Neves, Daniel Butzke, Gilbert Schönfelder et al.
- CTSys at SemEval-2018 Task 3: Irony in TweetsMyan Sherif, Sherine Mamdouh, Wegdan Ghaziour summary
- ECNU at SemEval-2018 Task 3: Exploration on Irony Detection from Tweets via Machine Learning and Deep Learning MethodsZhenghang Yin, Feixiang Wang, Man Lan et al.our summary
- IIT Delhi at SemEval-2018 Task 1 : Emotion Intensity Prediction ↗Bhaskar Kotakonda, Prashanth Gowda, Brejesh Lall
- IUCM at SemEval-2018 Task 11: Similar-Topic Texts as a Comprehension Knowledge Source ↗Sofia Reznikova, Leon Derczynski
- KU-MTL at SemEval-2018 Task 1: Multi-task Identification of Affect in Tweets ↗Thomas Nyegaard-Signori, Casper Veistrup Helms, Johannes Bjerva et al.
- RIDDL at SemEval-2018 Task 1: Rage Intensity Detection with Deep Learning ↗Venkatesh Elango, Karan Uppal
- SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning Comprehension ↗Taeuk Kim, Jihun Choi, Sang-goo Lee
- SciREL at SemEval-2018 Task 7: A System for Semantic Relation Extraction and Classification ↗Darshini Mahendran, Chathurika Brahmana, Bridget McInnes
- UniMa at SemEval-2018 Task 7: Semantic Relation Extraction and Classification from Scientific Publications ↗Thorsten Keiper, Zhonghao Lyu, Sara Pooladzadeh et al.
- YNU-HPCC at SemEval-2018 Task 12: The Argument Reasoning Comprehension Task Using a Bi-directional LSTM with Attention Model ↗Quanlei Liao, Xutao Yang, Jin Wang et al.
- Zewen at SemEval-2018 Task 1: An Ensemble Model for Affect Prediction in Tweets ↗Zewen Chi, Heyan Huang, Jiangui Chen et al.
- uOttawa at SemEval-2018 Task 1: Self-Attentive Hybrid GRU-Based Network ↗Ahmed Husseini Orabi, Mahmoud Husseini Orabi, Diana Inkpen et al.
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