Papers
Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs
Ximing Li, Jinjin Chi, Changchun Li et al.
Deceptive Opinion Spam Detection Using Neural Network
Yafeng Ren, Yue Zhang
Improving historical spelling normalization with bi-directional LSTMs and multi-task learning
Marcel Bollmann, Anders Søgaard
Zero-resource Dependency Parsing: Boosting Delexicalized Cross-lingual Transfer with Linguistic Knowledge
Lauriane Aufrant, Guillaume Wisniewski, François Yvon
A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation
Amrita Saha, Mitesh M. Khapra, Sarath Chandar et al.
Expanding wordnets to new languages with multilingual sense disambiguation
Mihael Arcan, John P. McCrae, Paul Buitelaar
Task-Oriented Intrinsic Evaluation of Semantic Textual Similarity
Nils Reimers, Philip Beyer, Iryna Gurevych
Forecasting Word Model: Twitter-based Influenza Surveillance and Prediction
Hayate Iso, Shoko Wakamiya, Eiji Aramaki
CATENA: CAusal and TEmporal relation extraction from NAtural language texts
Paramita Mirza, Sara Tonelli
An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses
Wencan Luo, Fei Liu, Diane Litman
Generating Video Description using Sequence-to-sequence Model with Temporal Attention
Natsuda Laokulrat, Sang Phan, Noriki Nishida et al.
A Redundancy-Aware Sentence Regression Framework for Extractive Summarization
Pengjie Ren, Furu Wei, Zhumin Chen et al.
Grammar induction from (lots of) words alone
John K Pate, Mark Johnson
A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks
Jiang Guo, Wanxiang Che, Haifeng Wang et al.
Boosting for Efficient Model Selection for Syntactic Parsing
Rachel Bawden, Benoît Crabbé
Discriminative Structure Learning of Arithmetic Circuits
Amirmohammad Rooshenas, Daniel Lowd
Parallel Majorization Minimization with Dynamically Restricted Domains for Nonconvex Optimization
Yan Kaganovsky, Ikenna Odinaka, David Carlson et al.
Online (and Offline) Robust PCA: Novel Algorithms and Performance Guarantees
Jinchun Zhan, Brian Lois, Han Guo et al.
Mondrian Forests for Large-Scale Regression when Uncertainty Matters
Balaji Lakshminarayanan, Daniel M. Roy, Yee Whye Teh
Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks
Abdullah Rashwan, Han Zhao, Pascal Poupart
Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation
Dejiao Zhang, Laura Balzano
Supervised Neighborhoods for Distributed Nonparametric Regression
Adam Bloniarz, Ameet Talwalkar, Bin Yu et al.
Multiresolution Matrix Compression
Nedelina Teneva, Pramod Kaushik Mudrakarta, Risi Kondor
Chained Gaussian Processes
Alan D. Saul, James Hensman, Aki Vehtari et al.