Skip to content
conftrace_

Papers (including subtopics)

The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions EMNLP 2018 The Retroflex-dental Contrast in Punjabi Stops and Nasals: A Principal Component Analysis of Ultrasound Images Interspeech 2018 The Road to Success: Assessing the Fate of Linguistic Innovations in Online Communities COLING 2018 The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings ICLR 2018 The Role of Temporal Variation in Narrative Organization Interspeech 2018 The Sample Complexity of Semi-Supervised Learning with Nonparametric Mixture Models NeurIPS 2018 The Search Problem in Mixture Models JMLR 2018 The Sparse Manifold Transform NeurIPS 2018 The University of Birmingham 2018 Spoken CALL Shared Task Systems Interspeech 2018 The University of Texas System Submission for the Code-Switching Workshop Shared Task 2018 ACL 2018 The Unreasonable Effectiveness of Deep Features as a Perceptual Metric CVPR 2018 The Use of Machine Learning and Phonetic Endophenotypes to Discover Genetic Variants Associated with Speech Sound Disorder Interspeech 2018 The UWNLP system at SemEval-2018 Task 7: Neural Relation Extraction Model with Selectively Incorporated Concept Embeddings SemEval 2018 The Weighted Kendall and High-order Kernels for Permutations ICML 2018 The Well-Tempered Lasso ICML 2018 The Whole is Greater than the Sum of its Parts: Towards the Effectiveness of Voting Ensemble Classifiers for Complex Word Identification NAACL 2018 The Word Analogy Testing Caveat NAACL 2018 The xyz algorithm for fast interaction search in high-dimensional data JMLR 2018 Think Globally, Embed Locally --- Locally Linear Meta-embedding of Words IJCAI 2018 Thread Popularity Prediction and Tracking with a Permutation-invariant Model EMNLP 2018 Thumbs Up and Down: Sentiment Analysis of Medical Online Forums EMNLP 2018 ThunderSVM: A Fast SVM Library on GPUs and CPUs JMLR 2018 THU_NGN at SemEval-2018 Task 10: Capturing Discriminative Attributes with MLP-CNN model SemEval 2018 THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM SemEval 2018 THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning SemEval 2018