Papers
Subspace LHUC for Fast Adaptation of Deep Neural Network Acoustic Models
Lahiru Samarakoon, Khe Chai Sim
Substring-based unsupervised transliteration with phonetic and contextual knowledge
Anoop Kunchukuttan, Pushpak Bhattacharyya, Mitesh M. Khapra
Sub-Word Similarity based Search for Embeddings: Inducing Rare-Word Embeddings for Word Similarity Tasks and Language Modelling
Mittul Singh, Clayton Greenberg, Youssef Oualil et al.
Succinct Data Structures for NLP-at-Scale
Matthias Petri, Trevor Cohn
Suggestion Mining from Opinionated Text
Sapna Negi
Summarizing Source Code using a Neural Attention Model
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung et al.
Summary Transfer: Exemplar-Based Subset Selection for Video Summarization
Ke Zhang, Wei-Lun Chao, Fei Sha et al.
Sum-Product-Max Networks for Tractable Decision Making
Mazen Melibari, Pascal Poupart, Prashant Doshi
Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization
Lucie Flekova, Iryna Gurevych
Supertagging With LSTMs
Ashish Vaswani, Yonatan Bisk, Kenji Sagae et al.
SUper Team at SemEval-2016 Task 3: Building a Feature-Rich System for Community Question Answering
Tsvetomila Mihaylova, Pepa Gencheva, Martin Boyanov et al.
Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings
Rie Johnson, Tong Zhang
Supervised Attentions for Neural Machine Translation
Haitao Mi, Zhiguo Wang, Abe Ittycheriah
Supervised Distributional Hypernym Discovery via Domain Adaptation
Luis Espinosa-Anke, Jose Camacho-Collados, Claudio Delli Bovi et al.
Supervised Heterogeneous Domain Adaptation via Random Forests
Sanatan Sukhija, Narayanan C Krishnan, Gurkanwal Singh
Supervised Keyphrase Extraction as Positive Unlabeled Learning
Lucas Sterckx, Cornelia Caragea, Thomas Demeester et al.
Supervised Learning of Acoustic Models in a Zero Resource Setting to Improve DPGMM Clustering
Michael Heck, Sakriani Sakti, Satoshi Nakamura
Supervised learning through the lens of compression
Ofir David, Shay Moran, Amir Yehudayoff
Supervised Learning with Tensor Networks
Edwin Stoudenmire, David J Schwab
Supervised Matrix Factorization for Cross-Modality Hashing
Hong Liu, Rongrong Ji, Yongjian Wu et al.
Supervised Neighborhoods for Distributed Nonparametric Regression
Adam Bloniarz, Ameet Talwalkar, Bin Yu et al.
Supervised Quantization for Similarity Search
Xiaojuan Wang, Ting Zhang, Guo-Jun Qi et al.
Supervised Word Mover's Distance
Gao Huang, Chuan Guo, Matt J Kusner et al.
Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes
Yuanjia Wang, Tianle Chen, Donglin Zeng