Papers
Toward Development and Evaluation of Pain Level-Rating Scale for Emergency Triage based on Vocal Characteristics and Facial Expressions
Fu-Sheng Tsai, Ya-Ling Hsu, Wei-Chen Chen et al.
Toward High-Performance Language-Independent Query-by-Example Spoken Term Detection for MediaEval 2015: Post-Evaluation Analysis
Cheung-Chi Leung, Lei Wang, Haihua Xu et al.
Towards a Convex HMM Surrogate for Word Alignment
Andrei Simion, Michael Collins, Cliff Stein
Towards an Automated Screening Tool for Developmental Speech and Language Impairments
Jen J. Gong, Maryann Gong, Dina Levy-Lambert et al.
Towards assessing depth of argumentation
Manfred Stede
Towards Automatically-Tuned Neural Networks
Hector Mendoza, Aaron Klein, Matthias Feurer et al.
Towards Automatic Detection of Amyotrophic Lateral Sclerosis from Speech Acoustic and Articulatory Samples
Jun Wang, Prasanna V. Kothalkar, Beiming Cao et al.
Towards a White Box Approach to Automated Algorithm Design
Steven Adriaensen, Ann Nowé
Towards Building an Attentive Artificial Listener: On the Perception of Attentiveness in Feedback Utterances
Catharine Oertel, Joakim Gustafson, Alan W. Black
Towards Conceptual Compression
Karol Gregor, Frederic Besse, Danilo Jimenez Rezende et al.
Towards Constructing Sports News from Live Text Commentary
Jianmin Zhang, Jin-ge Yao, Xiaojun Wan
Towards Convolutional Neural Networks Compression via Global Error Reconstruction
Shaohui Lin, Rongrong Ji, Xiaowei Guo et al.
Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks
Ying Zhang, Mohammad Pezeshki, Philémon Brakel et al.
Towards Fast Algorithms for the Preference Consistency Problem Based on Hierarchical Models
Anne-Marie George, Nic Wilson, Barry O’Sullivan
Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation
Huan Gui, Jiawei Han, Quanquan Gu
Towards Machine Comprehension of Spoken Content: Initial TOEFL Listening Comprehension Test by Machine
Bo-Hsiang Tseng, Sheng-syun Shen, Hung-Yi Lee et al.
Towards Minimally Invasive Velar State Detection in Normal and Silent Speech
Peter Birkholz, Petko Bakardjiev, Steffen Kürbis et al.
Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition
Shusen Wang, Zhihua Zhang, Tong Zhang
Towards more variation in text generation: Developing and evaluating variation models for choice of referential form
Thiago Castro Ferreira, Emiel Krahmer, Sander Wubben
Towards Non-projective High-Order Dependency Parser
Wenjing Fang, Kenny Zhu, Yizhong Wang et al.
Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities
Yi Yang, Ming-Wei Chang, Jacob Eisenstein
Towards Online-Recognition with Deep Bidirectional LSTM Acoustic Models
Albert Zeyer, Ralf Schlüter, Hermann Ney
Towards Open Set Deep Networks
Abhijit Bendale, Terrance E. Boult
Towards Semi-Automatic Generation of Proposition Banks for Low-Resource Languages
Alan Akbik, Vishwajeet Kumar, Yunyao Li