Classification

Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network SemEval 2019 Team Fernando-Pessa at SemEval-2019 Task 4: Back to Basics in Hyperpartisan News Detection SemEval 2019 Team Harry Friberg at SemEval-2019 Task 4: Identifying Hyperpartisan News through Editorially Defined Metatopics SemEval 2019 Team Howard Beale at SemEval-2019 Task 4: Hyperpartisan News Detection with BERT SemEval 2019 Team Kit Kittredge at SemEval-2019 Task 4: LSTM Voting System SemEval 2019 Team Ned Leeds at SemEval-2019 Task 4: Exploring Language Indicators of Hyperpartisan Reporting SemEval 2019 Team Peter Brinkmann at SemEval-2019 Task 4: Detecting Biased News Articles Using Convolutional Neural Networks SemEval 2019 Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection SemEval 2019 Team SVMrank: Leveraging Feature-rich Support Vector Machines for Ranking Explanations to Elementary Science Questions EMNLP 2019 Team Taurus at SemEval-2019 Task 9: Expert-informed pattern recognition for suggestion mining SemEval 2019 Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks SemEval 2019 TECHSSN at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Tweets using Deep Neural Networks SemEval 2019 TellMeWhy: Learning to Explain Corrective Feedback for Second Language Learners EMNLP 2019 Temporal Analysis of the Semantic Verbal Fluency Task in Persons with Subjective and Mild Cognitive Impairment NAACL 2019 Temporal Graph Convolutional Networks for Automatic Seizure Detection MLHC 2019 Temporal Quilting for Survival Analysis AISTATS 2019 Text Categorization by Learning Predominant Sense of Words as Auxiliary Task ACL 2019 Text Classification with Few Examples using Controlled Generalization NAACL 2019 Text Length Adaptation in Sentiment Classification ACML 2019 The advantages of multiple classes for reducing overfitting from test set reuse ICML 2019 The AIP-Tohoku System at the BEA-2019 Shared Task ACL 2019 The Broad Optimality of Profile Maximum Likelihood NeurIPS 2019 The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers NeurIPS 2019 The DipInfoUniTo Realizer at SRST’19: Learning to Rank and Deep Morphology Prediction for Multilingual Surface Realization EMNLP 2019 The Discourse of Online Content Moderation: Investigating Polarized User Responses to Changes in Reddit’s Quarantine Policy ACL 2019