| EmoNLP at SemEval-2018 Task 2: English Emoji Prediction with Gradient Boosting Regression Tree Method and Bidirectional LSTM | Jun 1, 2018 | BIG-bench Machine LearningFeature Engineering | —Unverified | 0 |
| ALANIS at SemEval-2018 Task 3: A Feature Engineering Approach to Irony Detection in English Tweets | Jun 1, 2018 | Feature Engineeringregression | —Unverified | 0 |
| MITRE at SemEval-2018 Task 11: Commonsense Reasoning without Commonsense Knowledge | Jun 1, 2018 | Common Sense ReasoningInformation Retrieval | —Unverified | 0 |
| KU-MTL at SemEval-2018 Task 1: Multi-task Identification of Affect in Tweets | Jun 1, 2018 | Emotion ClassificationGeneral Classification | —Unverified | 0 |
| ARB-SEN at SemEval-2018 Task1: A New Set of Features for Enhancing the Sentiment Intensity Prediction in Arabic Tweets | Jun 1, 2018 | Arabic Sentiment AnalysisNegation | —Unverified | 0 |
| \#TeamINF at SemEval-2018 Task 2: Emoji Prediction in Tweets | Jun 1, 2018 | General ClassificationInformation Retrieval | —Unverified | 0 |
| SSN MLRG1 at SemEval-2018 Task 1: Emotion and Sentiment Intensity Detection Using Rule Based Feature Selection | Jun 1, 2018 | Classificationfeature selection | —Unverified | 0 |
| Amrita\_student at SemEval-2018 Task 1: Distributed Representation of Social Media Text for Affects in Tweets | Jun 1, 2018 | BIG-bench Machine LearningClassification | —Unverified | 0 |
| INGEOTEC at SemEval-2018 Task 1: EvoMSA and μTC for Sentiment Analysis | Jun 1, 2018 | Combinatorial Optimizationregression | —Unverified | 0 |
| DMCB at SemEval-2018 Task 1: Transfer Learning of Sentiment Classification Using Group LSTM for Emotion Intensity prediction | Jun 1, 2018 | General Classificationregression | —Unverified | 0 |
| THU\_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM | Jun 1, 2018 | regressionSentiment Analysis | —Unverified | 0 |
| uOttawa at SemEval-2018 Task 1: Self-Attentive Hybrid GRU-Based Network | Jun 1, 2018 | regression | —Unverified | 0 |
| Prediction for the Newsroom: Which Articles Will Get the Most Comments? | Jun 1, 2018 | Articlesregression | CodeCode Available | 0 |
| SemEval-2018 Task 1: Affect in Tweets | Jun 1, 2018 | ClassificationEmotion Classification | —Unverified | 0 |
| Which Scores to Predict in Sentence Regression for Text Summarization? | Jun 1, 2018 | regressionSentence | —Unverified | 0 |
| PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and \#hashtags | Jun 1, 2018 | BIG-bench Machine LearningEmotion Classification | —Unverified | 0 |
| Deep Dirichlet Multinomial Regression | Jun 1, 2018 | Articlesregression | CodeCode Available | 0 |
| YNU-HPCC at SemEval-2018 Task 1: BiLSTM with Attention based Sentiment Analysis for Affect in Tweets | Jun 1, 2018 | ClassificationDomain Adaptation | —Unverified | 0 |
| UWB at SemEval-2018 Task 1: Emotion Intensity Detection in Tweets | Jun 1, 2018 | ClassificationGeneral Classification | —Unverified | 0 |
| Global linear convergence of Newton's method without strong-convexity or Lipschitz gradients | Jun 1, 2018 | regression | —Unverified | 0 |
| Multi-Label Transfer Learning for Multi-Relational Semantic Similarity | May 31, 2018 | Multi-Task Learningregression | —Unverified | 0 |
| Efficient Algorithms and Lower Bounds for Robust Linear Regression | May 31, 2018 | regression | —Unverified | 0 |
| Propagating Confidences through CNNs for Sparse Data Regression | May 30, 2018 | Autonomous DrivingDepth Completion | CodeCode Available | 0 |
| Statistical mechanical analysis of sparse linear regression as a variable selection problem | May 29, 2018 | compressed sensingregression | —Unverified | 0 |
| Review of Applications of Generalized Regression Neural Networks in Identification and Control of Dynamic Systems | May 29, 2018 | regression | —Unverified | 0 |
