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Papers (including subtopics)

Estimation of Hypernasality Scores from Cleft Lip and Palate Speech Interspeech 2018 Estimation of the Number of Speakers with Variational Bayesian PLDA in the DIHARD Diarization Challenge. Interspeech 2018 Estimation of the Vocal Tract Length of Vowel Sounds Based on the Frequency of the Significant Spectral Valley Interspeech 2018 Estimation with Incomplete Data: The Linear Case IJCAI 2018 Estimators for Multivariate Information Measures in General Probability Spaces NeurIPS 2018 ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction SemEval 2018 Evaluating the Ability of LSTMs to Learn Context-Free Grammars EMNLP 2018 Evaluating the Utility of Hand-crafted Features in Sequence Labelling EMNLP 2018 Evaluating Word Embeddings in Multi-label Classification Using Fine-Grained Name Typing ACL 2018 Evaluation of Unsupervised Compositional Representations COLING 2018 Event2Mind: Commonsense Inference on Events, Intents, and Reactions ACL 2018 Event Detection with Neural Networks: A Rigorous Empirical Evaluation EMNLP 2018 Every Smile Is Unique: Landmark-Guided Diverse Smile Generation CVPR 2018 Evidence Type Classification in Randomized Controlled Trials EMNLP 2018 Evidential Deep Learning to Quantify Classification Uncertainty NeurIPS 2018 Exact learning augmented naive Bayes classifier PGM 2018 Exemplar-Based Spectral Detail Compensation for Voice Conversion Interspeech 2018 Exemplar Encoder-Decoder for Neural Conversation Generation ACL 2018 Expanding Holographic Embeddings for Knowledge Completion NeurIPS 2018 Experience-dependent Influence of Music and Language on Lexical Pitch Learning Is Not Additive Interspeech 2018 Experimental Design under the Bradley-Terry Model IJCAI 2018 Experiments with Universal CEFR Classification NAACL 2018 Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings NAACL 2018 Explainable Prediction of Medical Codes from Clinical Text NAACL 2018 Explaining Deep Learning Models -- A Bayesian Non-parametric Approach NeurIPS 2018